coding exercises in React, Angular etc - realestateexplorer/relatedToCh GitHub Wiki

create coding exercises in React


Of course! Here is a set of React coding exercises, broken down by difficulty level. Each exercise focuses on specific core concepts.

How to Use These Exercises

  • Setup: You can use an online code editor like CodeSandbox or StackBlitz for a zero-config start. Alternatively, set up a local project using Vite (npm create vite@latest) for a fast, modern development environment.
  • Process: Try to solve each exercise on your own first. If you get stuck, look at the "Concepts to Use" for a hint. The "Bonus Challenge" is there to push you further.
  • Focus on Why: Don't just copy-paste code. Understand why a particular hook (useState, useEffect) or pattern is used.

Level 1: Beginner Exercises (The Fundamentals)

These exercises cover the absolute basics: components, props, state, and event handling.

Exercise 1: Greeting Card

Goal: Understand components and props.

  • Concepts to Use: Functional Components, JSX, Props.

  • Task:

    1. Create a component named Greeting.
    2. This component should accept a name prop.
    3. It should render a <h1> tag with the text "Hello, [name]!".
    4. In your main App component, use the Greeting component and pass it your name.
  • Example Usage in App.js:

    function App() {
      return <Greeting name="Alice" />;
    }
  • Bonus Challenge: Create another component called UserDetails that takes an object prop like { name: 'Bob', age: 30 } and displays the details in a paragraph.


Exercise 2: Simple Counter

Goal: Understand state and event handling.

  • Concepts to Use: useState hook, Event Handling (onClick).

  • Task:

    1. Create a component named Counter.
    2. It should display a number (the count) and a button.
    3. The number should start at 0.
    4. When the user clicks the button, the count should increase by 1.
  • Bonus Challenge: Add two more buttons: one to decrease the count (but not below 0) and another to reset it to 0.


Exercise 3: Toggling Visibility

Goal: Understand conditional rendering.

  • Concepts to Use: useState, Conditional Rendering (Ternary operator or &&).

  • Task:

    1. Create a component named ToggleVisibility.
    2. It should have a button that says "Show/Hide Text".
    3. Below the button, there is a paragraph of text.
    4. When the component first renders, the text should be hidden.
    5. When the button is clicked, the text should appear. If clicked again, it should disappear.
  • Bonus Challenge: Instead of a single paragraph, make it toggle an "Accordion" item with a title and content.


Exercise 4: To-Do List

Goal: Understand rendering lists from an array.

  • Concepts to Use: useState with an array, .map() method, key prop.

  • Task:

    1. Create a component named TodoList.
    2. In your component's state, store an array of to-do items (e.g., ['Learn React', 'Build a project', 'Go for a walk']).
    3. Render this array as an unordered list (<ul>), where each to-do item is a list item (<li>).
    4. Remember to give each list item a unique key.
  • Bonus Challenge: Add an input field and a button to allow users to add new items to the to-do list.


Level 2: Intermediate Exercises (Building Interactive Apps)

These exercises introduce forms, side effects (data fetching), and state management patterns.

Exercise 5: Controlled Form

Goal: Understand how to handle user input with controlled components.

  • Concepts to Use: useState for form fields, Handling onChange events.

  • Task:

    1. Create a LoginForm component.
    2. It should contain two input fields: one for email and one for password.
    3. The state of these inputs should be "controlled" by your React component's state.
    4. Add a "Submit" button.
    5. When the form is submitted, console.log an object containing the current email and password. Prevent the default form submission behavior.
  • Bonus Challenge: Add simple validation. If the password is less than 8 characters long when the user tries to submit, display an error message below the input field.


Exercise 6: Fetching Data from an API

Goal: Understand how to perform side effects, like fetching data.

  • Concepts to Use: useEffect hook, useState for data and loading states, fetch API.

  • Task:

    1. Use a free public API, like the JSONPlaceholder Users API.
    2. Create a UserList component.
    3. When the component mounts, use useEffect to fetch the list of users from the API.
    4. While the data is being fetched, display a "Loading..." message.
    5. Once the data is fetched, display the list of users' names in an unordered list.
  • Bonus Challenge: Add an error state. If the API call fails (you can test this by using a broken URL), display a "Failed to fetch users." message.


Exercise 7: Theme Switcher with Context

Goal: Understand global state management with the Context API.

  • Concepts to Use: createContext, useContext, Provider components.

  • Task:

    1. Create a ThemeContext that will provide a theme value ('light' or 'dark') and a function to toggle it.
    2. Wrap your main App component in a ThemeProvider.
    3. Create a ThemeToggleButton component that uses useContext to access the toggle function and change the theme.
    4. Create a HomePage component that uses useContext to access the current theme value. It should change its background color and text color based on the theme.
  • Bonus Challenge: Use localStorage to save the user's theme preference so that it persists even after they refresh the page.


Level 3: Advanced Exercises (Architecture and Optimization)

These exercises focus on more complex state, performance, and application structure.

Exercise 8: Search Filter for a List

Goal: Understand how to work with derived state and optimize performance.

  • Concepts to Use: useState, useMemo.

  • Task:

    1. Start with the UserList component from Exercise 6.
    2. Add a search input field above the list of users.
    3. As the user types into the search field, the list of users should filter in real-time to only show users whose names include the search text (case-insensitive).
    4. The filtering logic should not cause the component to re-fetch the data.
  • Bonus Challenge: Wrap the filtering logic in a useMemo hook. This ensures that the list is only re-filtered when the original user list or the search term changes, not on other re-renders. This is a key performance optimization.


Exercise 9: To-Do List with Reducer

Goal: Understand complex state logic with useReducer.

  • Concepts to Use: useReducer hook.

  • Task:

    1. Refactor the TodoList from Exercise 4 (with the "add" functionality).
    2. Instead of useState, manage the list's state using useReducer.
    3. Your reducer function should handle actions like ADD_TODO, DELETE_TODO, and TOGGLE_TODO_COMPLETED.
    4. Implement buttons for deleting a to-do and for marking a to-do as completed (e.g., by adding a line-through style).
  • Bonus Challenge: Add an "edit" functionality. When an "Edit" button is clicked on a to-do, it should become an input field, allowing the user to change its text.


Exercise 10: Simple Routing

Goal: Understand how to create a multi-page application.

  • Concepts to Use: A routing library like React Router.

    • You will need to install it: npm install react-router-dom
  • Task:

    1. Create a small application with three "pages": a Home page, an About page, and a Users page.
    2. Set up routes for /, /about, and /users.
    3. Create a navigation bar with links that allow the user to switch between these pages without a full page reload.
    4. The /users page should render the UserList component you built in Exercise 6.
  • Bonus Challenge: Create a dynamic route /users/:id. When a user clicks on a name in the UserList, it should navigate to their specific detail page, fetch only that user's data from https://jsonplaceholder.typicode.com/users/:id, and display all their details (name, email, phone, etc.).


create coding exercises in React with solutions


Of course! Here is a set of React coding exercises with solutions, structured by difficulty. Each solution includes the code and an explanation of the core concepts.

How to Use These Exercises

You can use an online code editor like CodeSandbox or StackBlitz to work on these without any local setup. Just paste the code into the App.js file.


Level 1: Beginner Exercises

Exercise 1: Simple Counter

Goal: Understand useState for managing state and onClick for handling events.

  • Task: Create a component with a number display and two buttons. One button increments the count, and the other decrements it.

Solution: Counter.js

import React, { useState } from 'react';

function Counter() {
  // 1. Initialize state with useState
  //    'count' is the state variable (its current value is 0)
  //    'setCount' is the function to update it
  const [count, setCount] = useState(0);

  // 2. Create functions to handle clicks
  const handleIncrement = () => {
    // We use a function inside setCount to get the most recent state
    setCount(prevCount => prevCount + 1);
  };

  const handleDecrement = () => {
    setCount(prevCount => prevCount - 1);
  };

  return (
    <div>
      <h1>Counter</h1>
      {/* 3. Display the current state */}
      <p>Current Count: {count}</p>
      {/* 4. Attach event handlers to buttons */}
      <button onClick={handleIncrement}>Increment</button>
      <button onClick={handleDecrement}>Decrement</button>
    </div>
  );
}

export default Counter;

Explanation:

  1. useState(0): This hook declares a state variable named count. Its initial value is 0. It returns an array with two elements: the current state value (count) and a function to update it (setCount).
  2. Event Handlers: The handleIncrement and handleDecrement functions call setCount to change the value of count. Using a function (prevCount => ...) is a safe way to update state that depends on its previous value.
  3. Rendering: The current value of count is displayed inside the <p> tag using curly braces {}.
  4. onClick: This attribute attaches our functions to the button's click event. When a button is clicked, the corresponding function runs, updates the state, and React re-renders the component to show the new count.

Exercise 2: Toggling Visibility

Goal: Understand conditional rendering to show or hide elements.

  • Task: Create a component with a button and a paragraph of text. Clicking the button should toggle the visibility of the text.

Solution: ToggleVisibility.js

import React, { useState } from 'react';

function ToggleVisibility() {
  // 1. State to track visibility, initialized to true
  const [isVisible, setIsVisible] = useState(true);

  const handleToggle = () => {
    // 2. Update state to the opposite of its current value
    setIsVisible(prevIsVisible => !prevIsVisible);
  };

  return (
    <div>
      <h1>Toggle Visibility</h1>
      <button onClick={handleToggle}>
        {isVisible ? 'Hide' : 'Show'} Text
      </button>

      {/* 3. Conditional rendering using the && operator */}
      {isVisible && <p>This is the text you can toggle!</p>}
    </div>
  );
}

export default ToggleVisibility;

Explanation:

  1. useState(true): We use a boolean state isVisible to control whether the text is shown. It starts as true.
  2. setIsVisible(!prevIsVisible): The handleToggle function flips the boolean value. If isVisible is true, it becomes false, and vice-versa.
  3. Conditional Rendering: The line {isVisible && <p>...</p>} is a common React pattern. In JavaScript, true && expression always evaluates to expression, and false && expression always evaluates to false. React doesn't render false, so the paragraph only appears on the screen when isVisible is true. We also use a ternary operator on the button's text to make it dynamic.

Level 2: Intermediate Exercises

Exercise 3: Controlled Form

Goal: Understand how to manage form inputs using state (controlled components).

  • Task: Create a login form with an email input, a password input, and a submit button. When submitted, log the form data to the console.

Solution: LoginForm.js

import React, { useState } from 'react';

function LoginForm() {
  // 1. Create state for each form input
  const [email, setEmail] = useState('');
  const [password, setPassword] = useState('');

  const handleSubmit = (event) => {
    // 2. Prevent the default form submission behavior (page reload)
    event.preventDefault();

    // 3. Log the current state values
    console.log('Form Submitted:', { email, password });
    alert(`Logged in with Email: ${email}`);

    // Optional: Clear the form after submission
    setEmail('');
    setPassword('');
  };

  return (
    <form onSubmit={handleSubmit}>
      <h1>Login Form</h1>
      <div>
        <label>Email: </label>
        <input
          type="email"
          // 4. Connect the input's value to state
          value={email}
          // 5. Update state whenever the input changes
          onChange={(e) => setEmail(e.target.value)}
        />
      </div>
      <div>
        <label>Password: </label>
        <input
          type="password"
          value={password}
          onChange={(e) => setPassword(e.target.value)}
        />
      </div>
      <button type="submit">Login</button>
    </form>
  );
}

export default LoginForm;

Explanation:

  1. State for Inputs: Each input field has its own piece of state (email, password). This is the "single source of truth."
  2. event.preventDefault(): In the handleSubmit function, this is crucial. It stops the browser from its default action of reloading the page when a form is submitted.
  3. onSubmit: This event handler is placed on the <form> element, not the button. It triggers the handleSubmit function.
  4. value={email}: This "controls" the input. The input's displayed value is always what's in the React state.
  5. onChange: This function runs every time the user types in the input. e.target.value contains the current text in the input box, which we use to update our state with setEmail. This completes the loop: user types -> onChange fires -> state updates -> input value changes.

Exercise 4: Fetching Data from an API

Goal: Understand the useEffect hook for performing side effects like API calls, and manage loading/error states.

  • Task: Fetch a list of users from the JSONPlaceholder API when the component mounts. Display a "Loading..." message while fetching, and the list of user names when done.

Solution: UserList.js

import React, { useState, useEffect } from 'react';

function UserList() {
  // 1. State for users, loading status, and errors
  const [users, setUsers] = useState([]);
  const [loading, setLoading] = useState(true);
  const [error, setError] = useState(null);

  // 2. useEffect to fetch data when the component mounts
  useEffect(() => {
    const fetchUsers = async () => {
      try {
        const response = await fetch('https://jsonplaceholder.typicode.com/users');
        if (!response.ok) {
          throw new Error('Network response was not ok');
        }
        const data = await response.json();
        setUsers(data); // 3. Set data in state
      } catch (error) {
        setError(error); // 4. Set error in state
      } finally {
        setLoading(false); // 5. Set loading to false in any case
      }
    };

    fetchUsers();
  }, []); // 6. Empty dependency array means this effect runs only once

  // 7. Conditional rendering based on state
  if (loading) {
    return <p>Loading...</p>;
  }

  if (error) {
    return <p>Error: {error.message}</p>;
  }

  return (
    <div>
      <h1>User List</h1>
      <ul>
        {/* 8. Map over the users array to render a list */}
        {users.map(user => (
          <li key={user.id}>{user.name}</li>
        ))}
      </ul>
    </div>
  );
}

export default UserList;

Explanation:

  1. Multiple States: We track three things: the users data (an array), the loading status (a boolean), and any potential error.
  2. useEffect: This hook runs code after the component has rendered. It's perfect for side effects like data fetching.
  3. Async Function: We use an async/await function inside useEffect for cleaner asynchronous code.
  4. Error Handling: The try...catch block is essential for handling network errors. If an error occurs, we store it in the error state.
  5. finally Block: This code runs whether the try block succeeded or failed. It's the perfect place to set loading to false.
  6. Dependency Array []: An empty array tells React to run this effect only once, after the initial render. This prevents an infinite loop of fetching.
  7. Conditional Rendering: Before rendering the list, we check the loading and error states to display the appropriate message to the user.
  8. .map() and key: We render the users array using .map(). The key={user.id} prop is crucial for React to efficiently update the list.

Level 3: Advanced Exercise

Exercise 5: Search Filter for a List

Goal: Understand derived state and performance optimization with the useMemo hook.

  • Task: Build on the UserList component. Add a search input field. As the user types, the list of users should filter to show only those whose names include the search term.

Solution: UserSearch.js

import React, { useState, useEffect, useMemo } from 'react';

function UserSearch() {
  const [users, setUsers] = useState([]);
  const [loading, setLoading] = useState(true);
  // 1. Add state for the search term
  const [searchTerm, setSearchTerm] = useState('');

  useEffect(() => {
    const fetchUsers = async () => {
      try {
        const response = await fetch('https://jsonplaceholder.typicode.com/users');
        const data = await response.json();
        setUsers(data);
      } catch (error) {
        console.error("Failed to fetch users", error);
      } finally {
        setLoading(false);
      }
    };
    fetchUsers();
  }, []);

  // 2. Use useMemo to calculate the filtered list
  // This calculation only re-runs when 'users' or 'searchTerm' changes
  const filteredUsers = useMemo(() => {
    if (!searchTerm) {
      return users; // Return all users if search is empty
    }
    return users.filter(user =>
      user.name.toLowerCase().includes(searchTerm.toLowerCase())
    );
  }, [users, searchTerm]); // 3. Dependency array for useMemo

  if (loading) {
    return <p>Loading...</p>;
  }

  return (
    <div>
      <h1>User Search</h1>
      {/* 4. Controlled input for the search term */}
      <input
        type="text"
        placeholder="Search by name..."
        value={searchTerm}
        onChange={e => setSearchTerm(e.target.value)}
      />
      <ul>
        {/* 5. Render the MEMOIZED filtered list */}
        {filteredUsers.length > 0 ? (
          filteredUsers.map(user => <li key={user.id}>{user.name}</li>)
        ) : (
          <p>No users found.</p>
        )}
      </ul>
    </div>
  );
}

export default UserSearch;

Explanation:

  1. searchTerm State: We add a new piece of state to hold the value of the search input.
  2. useMemo: This is the key to this solution. useMemo is a hook that memoizes a calculated value. This means it will only re-run the expensive filtering calculation if one of its dependencies changes.
  3. useMemo Dependencies: The dependency array [users, searchTerm] tells useMemo to re-calculate filteredUsers only when the original users array changes (e.g., after the initial fetch) or when the searchTerm changes (as the user types). If the component re-renders for any other reason, it will use the previously cached result, saving performance.
  4. Controlled Input: The search input is a standard controlled component, updating the searchTerm state onChange.
  5. Render Filtered List: We map over filteredUsers instead of the original users array. This ensures only the matching users are displayed.

create coding exercises in Angular with solutions


Of course! Here is a set of coding exercises for Angular, complete with solutions and explanations. They are structured by difficulty to help learners progress from fundamental concepts to more advanced patterns.

How to Use These Exercises

  • Setup: The easiest way to work on these is to use an online IDE like StackBlitz. It provides a full Angular environment in your browser. Alternatively, you can use the Angular CLI to create a local project (ng new my-angular-app).
  • Process: For each exercise, try to build the solution yourself first. The goal is to understand the "why" behind each concept. If you get stuck, review the solution and the explanation.

Level 1: Beginner Exercises (The Fundamentals)

These exercises focus on components, data binding, and basic directives.

Exercise 1: Simple Counter

Goal: Understand component properties and event binding.

  • Task: Create a component that displays a count. It should have two buttons: one to increment the count and one to decrement it.

Solution: counter.component.ts and counter.component.html

counter.component.ts

import { Component } from '@angular/core';

@Component({
  selector: 'app-counter',
  templateUrl: './counter.component.html',
})
export class CounterComponent {
  // 1. Define a property to hold the state
  count = 0;

  // 2. Define methods to change the state
  increment() {
    this.count++;
  }

  decrement() {
    this.count--;
  }
}

counter.component.html

<h2>Counter</h2>

<!-- 3. Display the count property using interpolation -->
<p>Current Count: {{ count }}</p>

<!-- 4. Bind the click event to the component's methods -->
<button (click)="increment()">Increment</button>
<button (click)="decrement()">Decrement</button>

Explanation:

  1. Component Property: In the .ts file, count = 0; declares a class property. This property holds the state for our component.
  2. Methods: The increment() and decrement() methods contain the logic to modify the count property.
  3. String Interpolation {{ }}: In the HTML, {{ count }} is one-way data binding. It displays the current value of the count property from the component class.
  4. Event Binding ( ): (click)="increment()" is event binding. It listens for the click event on the button and calls the increment() method in the component class whenever it occurs. Angular's change detection then automatically updates the view.

Exercise 2: Simple To-Do List

Goal: Understand structural directives (*ngFor, *ngIf) and two-way data binding ([(ngModel)]).

  • Task: Create a component to manage a to-do list. It should display a list of tasks, and have an input field and a button to add new tasks to the list.

Setup: To use [(ngModel)], you must import FormsModule in your module.

app.module.ts

import { NgModule } from '@angular/core';
import { BrowserModule } from '@angular/platform-browser';
import { FormsModule } from '@angular/forms'; // <-- Import FormsModule

import { AppComponent } from './app.component';
// ... other components

@NgModule({
  declarations: [AppComponent /*, ...*/],
  imports: [
    BrowserModule,
    FormsModule // <-- Add FormsModule to imports
  ],
  providers: [],
  bootstrap: [AppComponent]
})
export class AppModule { }

Solution: todo-list.component.ts and todo-list.component.html

todo-list.component.ts

import { Component } from '@angular/core';

@Component({
  selector: 'app-todo-list',
  templateUrl: './todo-list.component.html',
})
export class TodoListComponent {
  // 1. Property to hold the list of tasks
  tasks = ['Learn Angular', 'Build a project', 'Deploy the app'];

  // 2. Property to bind to the input field
  newTask = '';

  addTask() {
    // 3. Add the new task if it's not empty
    if (this.newTask.trim()) {
      this.tasks.push(this.newTask);
      this.newTask = ''; // Clear the input field
    }
  }

  removeTask(index: number) {
    this.tasks.splice(index, 1);
  }
}

todo-list.component.html

<h2>To-Do List</h2>

<div>
  <!-- 4. Two-way data binding for the input -->
  <input type="text" [(ngModel)]="newTask" placeholder="Add a new task">
  <button (click)="addTask()">Add Task</button>
</div>

<!-- 5. Use *ngIf to show a message if the list is empty -->
<p *ngIf="tasks.length === 0">Your to-do list is empty!</p>

<!-- 6. Use *ngFor to loop through and display the tasks -->
<ul>
  <li *ngFor="let task of tasks; let i = index">
    {{ task }}
    <button (click)="removeTask(i)">Remove</button>
  </li>
</ul>

Explanation:

  1. State: The tasks array holds the list data, and newTask holds the value from the input field.
  2. [(ngModel)]: This is two-way data binding. It combines property binding [value]="newTask" and event binding (input)="newTask = $event.target.value" into one. The input's value is always in sync with the newTask property.
  3. addTask(): This method pushes the new task into the tasks array and then clears the input field.
  4. *ngIf: This is a structural directive. It adds or removes the <p> element from the DOM based on the condition tasks.length === 0.
  5. *ngFor: This directive iterates over the tasks array. For each task in the array, it creates a new <li> element. We also get the index (let i = index) to know which item to remove.

Level 2: Intermediate Exercises

Exercise 3: Component Communication (@Input & @Output)

Goal: Understand how to pass data from a parent to a child (@Input) and emit events from a child to a parent (@Output).

  • Task: Refactor the To-Do list. Create a TaskItemComponent that is responsible for displaying a single task and its "Remove" button. The TodoListComponent will be the parent, passing data down and listening for remove events.

Solution: Parent (todo-list) and Child (task-item) components

todo-list.component.ts (Parent)

import { Component } from '@angular/core';

@Component({
  selector: 'app-todo-list',
  templateUrl: './todo-list.component.html', // The HTML will be updated
})
export class TodoListComponent {
  tasks = ['Learn components', 'Learn directives', 'Master services'];
  newTask = '';

  addTask() {
    if (this.newTask.trim()) {
      this.tasks.push(this.newTask);
      this.newTask = '';
    }
  }

  // 1. This method will be triggered by the child's event
  handleRemove(taskToRemove: string) {
    this.tasks = this.tasks.filter(task => task !== taskToRemove);
  }
}

todo-list.component.html (Parent)

<h2>To-Do List (with Child Components)</h2>
<div>
  <input type="text" [(ngModel)]="newTask" placeholder="Add a new task">
  <button (click)="addTask()">Add</button>
</div>
<ul>
  <!-- 2. Loop and pass data to the child component -->
  <app-task-item
    *ngFor="let currentTask of tasks"
    [taskName]="currentTask"
    (remove)="handleRemove($event)">
  </app-task-item>
</ul>

task-item.component.ts (Child)

import { Component, Input, Output, EventEmitter } from '@angular/core';

@Component({
  selector: 'app-task-item',
  template: `
    <li>
      {{ taskName }}
      <!-- 4. Emit the event on click -->
      <button (click)="emitRemoveEvent()">Remove</button>
    </li>
  `
})
export class TaskItemComponent {
  // 3. @Input allows the parent to pass data IN
  @Input() taskName: string = '';

  // 3. @Output allows this component to send events OUT
  @Output() remove = new EventEmitter<string>();

  emitRemoveEvent() {
    // We emit the name of the task to be removed
    this.remove.emit(this.taskName);
  }
}

Explanation:

  1. Parent Logic: The parent (TodoListComponent) now has a handleRemove method that expects the task's name. It no longer needs to know about the index.
  2. Passing Data: In the parent's HTML, [taskName]="currentTask" uses property binding to pass the task string down to the taskName property of the TaskItemComponent.
  3. @Input and @Output:
    • In the child, @Input() taskName decorates a property, marking it as a target for data from the parent.
    • @Output() remove = new EventEmitter<string>() creates a new event emitter. The child can use this to send data (in this case, a string) back up to the parent.
  4. Emitting an Event: When the "Remove" button in the child is clicked, emitRemoveEvent() is called, which in turn calls this.remove.emit(this.taskName).
  5. Listening for the Event: Back in the parent's HTML, (remove)="handleRemove($event)" listens for the remove event from the child. When it fires, it calls handleRemove(), and the emitted value (this.taskName) is automatically passed in as $event.

Exercise 4: Fetching API Data with a Service

Goal: Understand how to use Services for business logic, HttpClient for API requests, and the async pipe for handling Observables.

  • Task: Create a UserListComponent that fetches user data from JSONPlaceholder. Use a UserService to handle the HTTP request. Display a loading message until the data arrives.

Setup: Import HttpClientModule in your app.module.ts.

app.module.ts

import { HttpClientModule } from '@angular/common/http'; // <-- Import

@NgModule({
  imports: [
    // ... other modules
    HttpClientModule // <-- Add to imports
  ],
  // ...
})
export class AppModule { }

Solution: user.service.ts, user-list.component.ts, and user-list.component.html

user.service.ts

import { Injectable } from '@angular/core';
import { HttpClient } from '@angular/common/http';
import { Observable } from 'rxjs';

// Define an interface for the User data structure
export interface User {
  id: number;
  name: string;
  email: string;
}

@Injectable({
  providedIn: 'root' // 1. Makes the service a singleton available app-wide
})
export class UserService {
  private apiUrl = 'https://jsonplaceholder.typicode.com/users';

  // 2. Inject HttpClient via the constructor
  constructor(private http: HttpClient) { }

  // 3. The method returns an Observable of User array
  getUsers(): Observable<User[]> {
    return this.http.get<User[]>(this.apiUrl);
  }
}

user-list.component.ts

import { Component, OnInit } from '@angular/core';
import { Observable } from 'rxjs';
import { UserService, User } from './user.service'; // Adjust path as needed

@Component({
  selector: 'app-user-list',
  templateUrl: './user-list.component.html',
})
export class UserListComponent implements OnInit {
  // 4. Define a property to hold the Observable
  users$!: Observable<User[]>;

  // 5. Inject the UserService
  constructor(private userService: UserService) { }

  ngOnInit(): void {
    // 6. Assign the Observable from the service to the component property
    this.users$ = this.userService.getUsers();
  }
}

user-list.component.html

<h2>User List from API</h2>

<!-- 7. Use the async pipe to subscribe and get data -->
<ul *ngIf="users$ | async as users; else loading">
  <li *ngFor="let user of users">
    {{ user.name }} ({{ user.email }})
  </li>
</ul>

<!-- 8. Define a loading template -->
<ng-template #loading>
  <p>Loading users...</p>
</ng-template>

Explanation:

  1. @Injectable({providedIn: 'root'}): This decorator marks the class as a service and tells Angular's dependency injection system how to provide it. providedIn: 'root' means a single instance of this service is created for the entire application.
  2. Dependency Injection: The UserService requests an instance of HttpClient in its constructor. Angular automatically provides it.
  3. Observable: HttpClient methods do not return data directly. They return an Observable, which is a stream of data that can be subscribed to.
  4. users$!: In the component, we declare a property users$. The $ suffix is a common convention for properties that hold an Observable. The ! tells TypeScript that we will definitely initialize it later (in ngOnInit).
  5. ngOnInit: This is a lifecycle hook that runs once after the component is initialized. It's the perfect place to make initial data requests.
  6. async Pipe: This is the magic part. The async pipe in the template automatically subscribes to the users$ Observable.
    • While waiting for the data, it returns null.
    • Once the data arrives, it triggers change detection and provides the data.
    • It automatically unsubscribes when the component is destroyed, preventing memory leaks.
  7. *ngIf ... as users: This syntax lets us subscribe with the async pipe and store the resulting array in a template variable named users, which we can then use in the *ngFor.
  8. else loading: The *ngIf is also paired with an else clause. If users$ | async is null (because data hasn't arrived yet), it will render the <ng-template> named #loading.

create coding exercises in SQL with solutions


Of course! Here is a set of SQL coding exercises with solutions, designed for learning and practice. The exercises are structured by difficulty and use a common e-commerce database schema, which we will define first.

Database Schema and Sample Data

All exercises will be based on the following four tables. You can run this setup code in any SQL environment (like MySQL, PostgreSQL, SQL Server, or an online tool like DB Fiddle).

Schema:

  • Customers: Stores customer information.
  • Products: Stores product information.
  • Orders: Stores order header information, linked to a customer.
  • Order_Items: A linking table that stores the specific products and quantities for each order.

SQL Setup Code:

-- Create Tables
CREATE TABLE Customers (
    customer_id INT PRIMARY KEY,
    first_name VARCHAR(50),
    last_name VARCHAR(50),
    email VARCHAR(100),
    join_date DATE
);

CREATE TABLE Products (
    product_id INT PRIMARY KEY,
    name VARCHAR(100),
    category VARCHAR(50),
    price DECIMAL(10, 2)
);

CREATE TABLE Orders (
    order_id INT PRIMARY KEY,
    customer_id INT,
    order_date DATE,
    FOREIGN KEY (customer_id) REFERENCES Customers(customer_id)
);

CREATE TABLE Order_Items (
    order_item_id INT PRIMARY KEY,
    order_id INT,
    product_id INT,
    quantity INT,
    FOREIGN KEY (order_id) REFERENCES Orders(order_id),
    FOREIGN KEY (product_id) REFERENCES Products(product_id)
);

-- Insert Sample Data
INSERT INTO Customers (customer_id, first_name, last_name, email, join_date) VALUES
(1, 'John', 'Smith', '[email protected]', '2022-01-15'),
(2, 'Jane', 'Doe', '[email protected]', '2022-02-20'),
(3, 'Peter', 'Jones', '[email protected]', '2022-03-10'),
(4, 'Alice', 'Williams', '[email protected]', '2023-05-01');

INSERT INTO Products (product_id, name, category, price) VALUES
(1, 'Laptop', 'Electronics', 1200.00),
(2, 'Smartphone', 'Electronics', 800.00),
(3, 'Desk Chair', 'Furniture', 250.00),
(4, 'Coffee Maker', 'Appliances', 100.00),
(5, 'The Great Gatsby', 'Books', 15.00);

INSERT INTO Orders (order_id, customer_id, order_date) VALUES
(101, 1, '2023-04-10'),
(102, 1, '2023-05-22'),
(103, 2, '2023-06-05'),
(104, 3, '2023-06-08');

INSERT INTO Order_Items (order_item_id, order_id, product_id, quantity) VALUES
(1, 101, 1, 1),
(2, 101, 5, 2),
(3, 102, 3, 1),
(4, 103, 2, 1),
(5, 103, 5, 3),
(6, 104, 1, 1),
(7, 104, 2, 1);

Level 1: Beginner (Basic SELECT Queries)

Exercise 1: Retrieve All Products

  • Task: Write a query to select all columns for all records from the Products table.

Solution:

SELECT *
FROM Products;

Explanation:

  • SELECT * means "select all columns".
  • FROM Products specifies the table you are querying.

Exercise 2: Find Products in a Specific Category

  • Task: Write a query to find the names and prices of all products in the 'Electronics' category.

Solution:

SELECT name, price
FROM Products
WHERE category = 'Electronics';

Explanation:

  • SELECT name, price specifies that you only want these two columns.
  • WHERE category = 'Electronics' filters the rows, returning only those where the category column has the value 'Electronics'.

Exercise 3: Sort Customers by Join Date

  • Task: Write a query to get the first_name and join_date of all customers, sorted with the newest members first.

Solution:

SELECT first_name, join_date
FROM Customers
ORDER BY join_date DESC;

Explanation:

  • ORDER BY join_date tells the database to sort the results based on the join_date column.
  • DESC stands for "descending", which sorts from the highest value (latest date) to the lowest (earliest date). The default is ASC (ascending).

Level 2: Intermediate (Joins and Aggregation)

Exercise 4: List Orders with Customer Names

  • Task: Write a query to list all order_ids along with the first_name and last_name of the customer who placed the order.

Solution:

SELECT
    o.order_id,
    c.first_name,
    c.last_name
FROM Orders AS o
JOIN Customers AS c ON o.customer_id = c.customer_id;

Explanation:

  • JOIN Customers AS c ON o.customer_id = c.customer_id combines rows from Orders (aliased as o) and Customers (aliased as c).
  • The ON clause specifies the join condition: link rows where the customer_id is the same in both tables. This is an INNER JOIN by default, meaning it only includes customers who have placed orders.

Exercise 5: Calculate Total Revenue per Product

  • Task: Write a query to calculate the total revenue generated by each product. The result should show the product name and its total revenue, sorted from most to least revenue.

Solution:

SELECT
    p.name,
    SUM(oi.quantity * p.price) AS total_revenue
FROM Order_Items AS oi
JOIN Products AS p ON oi.product_id = p.product_id
GROUP BY p.name
ORDER BY total_revenue DESC;

Explanation:

  • JOIN: We join Order_Items and Products to get access to both quantity and price for each item sold.
  • SUM(oi.quantity * p.price): This is an aggregate function. For each product, it calculates the revenue (quantity * price) for each line item and then sums them up. AS total_revenue gives this new calculated column a name.
  • GROUP BY p.name: This is crucial. It tells the SUM function to group all the rows by product name and perform the sum for each group separately.
  • ORDER BY total_revenue DESC: Sorts the final result to show the most profitable products first.

Exercise 6: Find Customers Who Have Not Placed Any Orders

  • Task: Write a query to find all customers who have never placed an order.

Solution:

SELECT
    c.customer_id,
    c.first_name,
    c.last_name
FROM Customers AS c
LEFT JOIN Orders AS o ON c.customer_id = o.customer_id
WHERE o.order_id IS NULL;

Explanation:

  • LEFT JOIN: This join returns all rows from the left table (Customers), and the matched rows from the right table (Orders).
  • If a customer has no matching orders, the columns from the Orders table (like o.order_id) will be NULL for that customer's row.
  • WHERE o.order_id IS NULL: This filters the result of the LEFT JOIN to show only those rows where there was no match—i.e., customers without orders.

Level 3: Advanced (Subqueries, CTEs, and Window Functions)

Exercise 7: Find the Most Expensive Product in Each Category

  • Task: Write a query to find the name and price of the most expensive product in each category.

Solution (using a Window Function):

WITH RankedProducts AS (
    SELECT
        name,
        category,
        price,
        RANK() OVER (PARTITION BY category ORDER BY price DESC) as price_rank
    FROM Products
)
SELECT
    name,
    category,
    price
FROM RankedProducts
WHERE price_rank = 1;

Explanation:

  • WITH RankedProducts AS (...): This defines a Common Table Expression (CTE), which is like a temporary, named result set that you can query.
  • RANK() OVER (...): This is a window function.
    • PARTITION BY category: It divides the rows into partitions (groups) based on their category. The RANK() function will restart for each new category.
    • ORDER BY price DESC: Within each partition, it orders the products by price from highest to lowest.
    • RANK() then assigns a rank to each product within its category based on this ordering. The most expensive product gets a rank of 1.
  • SELECT ... FROM RankedProducts WHERE price_rank = 1: The final query simply selects the rows from our CTE where the rank is 1, giving us the most expensive product from each category.

Exercise 8: Find Customers Who Ordered a 'Laptop'

  • Task: Write a query to find the first and last names of all customers who have ordered a 'Laptop'.

Solution (using a Subquery):

SELECT
    first_name,
    last_name
FROM Customers
WHERE customer_id IN (
    SELECT o.customer_id
    FROM Orders AS o
    JOIN Order_Items AS oi ON o.order_id = oi.order_id
    JOIN Products AS p ON oi.product_id = p.product_id
    WHERE p.name = 'Laptop'
);

Explanation:

  • The query inside the parentheses is a subquery. It runs first.
  • Inner Query: It finds all unique customer_ids for orders that contain a product named 'Laptop'.
  • Outer Query: It then selects the names from the Customers table, but only for those customers whose customer_id is in the list generated by the subquery (WHERE customer_id IN (...)).

Exercise 9: Calculate Running Total of Orders for a Customer

  • Task: For customer John Smith (customer_id = 1), calculate the total value of each of his orders and also show a running total of his spending over time.

Solution (using Window Functions and a CTE):

WITH CustomerOrderValue AS (
    SELECT
        o.customer_id,
        o.order_id,
        o.order_date,
        SUM(oi.quantity * p.price) AS order_total
    FROM Orders AS o
    JOIN Order_Items AS oi ON o.order_id = oi.order_id
    JOIN Products AS p ON oi.product_id = p.product_id
    WHERE o.customer_id = 1
    GROUP BY o.order_id, o.customer_id, o.order_date
)
SELECT
    order_id,
    order_date,
    order_total,
    SUM(order_total) OVER (ORDER BY order_date) AS running_total
FROM CustomerOrderValue
ORDER BY order_date;

Explanation:

  • CTE CustomerOrderValue: The first step is to calculate the total value for each individual order placed by customer 1. This is done by joining the tables, filtering for customer_id = 1, and using GROUP BY and SUM.
  • Outer Query: This query selects from the CTE.
  • SUM(order_total) OVER (ORDER BY order_date): This is the key window function.
    • OVER (ORDER BY order_date) tells the SUM function to operate over a "window" of rows ordered by date.
    • For each row, it sums the order_total of all rows from the beginning of the set up to the current row, creating a cumulative or "running" total.

create coding exercises in C# with solutions


Of course! Here is a set of C# coding exercises with solutions, organized by difficulty. These exercises are designed to be run in a simple console application.

How to Use These Exercises

  • Setup: Create a new C# console project. You can do this easily with the .NET CLI:
    dotnet new console -o CSharpExercises
    cd CSharpExercises
  • Running: Place the code for each solution inside the Program.cs file and run it from your terminal with dotnet run.

Level 1: Beginner (Fundamentals)

These exercises cover basic syntax, control flow, and methods.

Exercise 1: Simple Calculator

  • Task: Create a method that takes two numbers and a mathematical operator (+, -, *, /) as input, and returns the result of the operation. Handle the case of division by zero.
  • Concepts to Use: Methods, Parameters, switch statement, Return values.

Solution:

// Program.cs
using System;

public class Program
{
    public static void Main(string[] args)
    {
        Console.WriteLine("Calculator Results:");
        Console.WriteLine($"10 + 5 = {Calculate(10, 5, '+')}");
        Console.WriteLine($"10 - 5 = {Calculate(10, 5, '-')}");
        Console.WriteLine($"10 * 5 = {Calculate(10, 5, '*')}");
        Console.WriteLine($"10 / 5 = {Calculate(10, 5, '/')}");

        // Test division by zero
        try
        {
            Calculate(10, 0, '/');
        }
        catch (ArgumentException ex)
        {
            Console.WriteLine(ex.Message);
        }
    }

    public static double Calculate(double num1, double num2, char operation)
    {
        switch (operation)
        {
            case '+':
                return num1 + num2;
            case '-':
                return num1 - num2;
            case '*':
                return num1 * num2;
            case '/':
                if (num2 == 0)
                {
                    throw new ArgumentException("Error: Cannot divide by zero.");
                }
                return num1 / num2;
            default:
                throw new ArgumentException("Error: Invalid operator.");
        }
    }
}

Explanation:

  1. The Calculate method accepts two double numbers and a char for the operator.
  2. A switch statement is used to efficiently check the operation character.
  3. Each case performs the corresponding mathematical operation and uses return to send the result back.
  4. For division, we first check if num2 is zero. If it is, we throw an ArgumentException to signal an error. This is better than returning a magic number like 0 or -1.
  5. The default case handles any invalid operators, also throwing an exception.

Exercise 2: FizzBuzz

  • Task: Write a program that prints the numbers from 1 to 100. For multiples of three, print "Fizz" instead of the number. For multiples of five, print "Buzz". For numbers which are multiples of both three and five, print "FizzBuzz".
  • Concepts to Use: for loop, if-else if-else statements, Modulo operator (%).

Solution:

// Program.cs
using System;

public class Program
{
    public static void Main(string[] args)
    {
        for (int i = 1; i <= 100; i++)
        {
            // Check for multiples of both 3 and 5 first, as this is the most specific condition.
            if (i % 3 == 0 && i % 5 == 0) // or (i % 15 == 0)
            {
                Console.WriteLine("FizzBuzz");
            }
            else if (i % 3 == 0)
            {
                Console.WriteLine("Fizz");
            }
            else if (i % 5 == 0)
            {
                Console.WriteLine("Buzz");
            }
            else
            {
                Console.WriteLine(i);
            }
        }
    }
}

Explanation:

  1. A for loop iterates from 1 to 100.
  2. The modulo operator % gives the remainder of a division. i % 3 == 0 is true if i is perfectly divisible by 3.
  3. The if-else if-else structure checks the conditions in order. It's important to check for the "FizzBuzz" case (i % 3 == 0 && i % 5 == 0) first, because if we checked for "Fizz" first, it would print "Fizz" for the number 15 and never reach the "FizzBuzz" condition.
  4. If none of the conditions are met, the else block simply prints the number itself.

Level 2: Intermediate (OOP & LINQ)

Exercise 3: Bank Account Class

  • Task: Create a BankAccount class. It should have properties for AccountNumber (string), OwnerName (string), and Balance (decimal). The balance should only be modifiable through Deposit and Withdraw methods. Ensure a withdrawal cannot result in a negative balance.
  • Concepts to Use: Classes, Properties, Constructors, Methods, Encapsulation.

Solution:

// Program.cs
using System;

public class BankAccount
{
    // Properties
    public string AccountNumber { get; } // Read-only after creation
    public string OwnerName { get; set; }
    public decimal Balance { get; private set; } // Read-only from outside, modifiable inside

    // Constructor
    public BankAccount(string accountNumber, string ownerName, decimal initialBalance)
    {
        AccountNumber = accountNumber;
        OwnerName = ownerName;
        Balance = initialBalance;
    }

    // Methods
    public void Deposit(decimal amount)
    {
        if (amount <= 0)
        {
            throw new ArgumentException("Deposit amount must be positive.", nameof(amount));
        }
        Balance += amount;
    }

    public void Withdraw(decimal amount)
    {
        if (amount <= 0)
        {
            throw new ArgumentException("Withdrawal amount must be positive.", nameof(amount));
        }
        if (Balance - amount < 0)
        {
            throw new InvalidOperationException("Insufficient funds for this withdrawal.");
        }
        Balance -= amount;
    }
}

public class Program
{
    public static void Main(string[] args)
    {
        var account = new BankAccount("12345", "John Doe", 1000.00m);
        Console.WriteLine($"Account {account.AccountNumber} for {account.OwnerName} has a balance of ${account.Balance}.");

        account.Deposit(250.50m);
        Console.WriteLine($"After deposit, balance is ${account.Balance}.");

        account.Withdraw(500m);
        Console.WriteLine($"After withdrawal, balance is ${account.Balance}.");

        try
        {
            // This will fail
            account.Withdraw(1000m);
        }
        catch (InvalidOperationException e)
        {
            Console.WriteLine(e.Message);
        }
        
        // This also fails because the setter is private
        // account.Balance = 5000; // <-- This line would cause a compile error
    }
}

Explanation:

  1. Encapsulation: The Balance property has a private set;. This means its value can only be changed by code inside the BankAccount class (i.e., by the Deposit and Withdraw methods). This prevents external code from setting an arbitrary balance.
  2. Constructor: The constructor is a special method that runs when a new object is created (new BankAccount(...)). It initializes the object's state.
  3. Read-only Property: AccountNumber has no set accessor at all (after C# 9, init; is also an option for constructors). This means its value is set once in the constructor and can never be changed again.
  4. Business Logic: The methods enforce rules: deposits must be positive, and withdrawals cannot overdraw the account.

Exercise 4: Product Inventory with LINQ

  • Task: Create a Product class with Name (string), Category (string), and Price (decimal) properties. Create a list of Product objects. Use LINQ to perform the following queries:
    1. Find all products in the "Electronics" category.
    2. Find the first product with a price over $500.
    3. Order all products by price, from cheapest to most expensive.
  • Concepts to Use: List<T>, LINQ methods (Where, FirstOrDefault, OrderBy).

Solution:

// Program.cs
using System;
using System.Collections.Generic;
using System.Linq;

public class Product
{
    public string Name { get; set; }
    public string Category { get; set; }
    public decimal Price { get; set; }
}

public class Program
{
    public static void Main(string[] args)
    {
        List<Product> products = new List<Product>
        {
            new Product { Name = "Laptop", Category = "Electronics", Price = 1200.50m },
            new Product { Name = "Smartphone", Category = "Electronics", Price = 750.00m },
            new Product { Name = "Desk Chair", Category = "Furniture", Price = 150.75m },
            new Product { Name = "Coffee Maker", Category = "Appliances", Price = 80.00m },
            new Product { Name = "Keyboard", Category = "Electronics", Price = 99.99m }
        };

        // 1. Find all products in the "Electronics" category
        Console.WriteLine("--- Electronics Products ---");
        var electronics = products.Where(p => p.Category == "Electronics");
        foreach (var product in electronics)
        {
            Console.WriteLine($"{product.Name} (${product.Price})");
        }

        // 2. Find the first product with a price over $500
        Console.WriteLine("\n--- First Product Over $500 ---");
        var expensiveProduct = products.FirstOrDefault(p => p.Price > 500m);
        if (expensiveProduct != null)
        {
            Console.WriteLine($"{expensiveProduct.Name} (${expensiveProduct.Price})");
        }

        // 3. Order all products by price
        Console.WriteLine("\n--- Products Ordered by Price ---");
        var orderedProducts = products.OrderBy(p => p.Price);
        foreach (var product in orderedProducts)
        {
            Console.WriteLine($"{product.Name} (${product.Price})");
        }
    }
}

Explanation:

  1. LINQ (Language Integrated Query): LINQ provides powerful methods to query collections. using System.Linq; is required.
  2. Where(p => p.Category == "Electronics"): The Where method filters a collection. It takes a lambda expression p => ... as an argument. For each product p, it evaluates the condition. If true, the product is included in the result.
  3. FirstOrDefault(p => p.Price > 500m): This finds the first element that matches the condition. If no element matches, it returns the default value for the type (null for objects), which prevents an exception.
  4. OrderBy(p => p.Price): This sorts the collection. The lambda expression specifies which property to sort by. By default, it sorts in ascending order. For descending, you would use OrderByDescending.

Level 3: Advanced (Asynchronous Programming)

Exercise 5: Asynchronous Web Content Downloader

  • Task: Write an asynchronous method that takes a URL as input, downloads the HTML content from that URL, and returns the character count of the content. Use HttpClient and the async/await pattern.
  • Concepts to Use: async/await, Task<T>, HttpClient, Asynchronous programming.

Solution:

// Program.cs
using System;
using System.Net.Http;
using System.Threading.Tasks;

public class Program
{
    // Main method must be async to use await at the top level
    public static async Task Main(string[] args)
    {
        string url = "https://www.microsoft.com";
        Console.WriteLine($"Downloading content from {url}...");

        try
        {
            int charCount = await DownloadContentLengthAsync(url);
            Console.WriteLine($"Successfully downloaded. Character count: {charCount:N0}");
        }
        catch (HttpRequestException e)
        {
            Console.WriteLine($"Error downloading content: {e.Message}");
        }
    }

    public static async Task<int> DownloadContentLengthAsync(string url)
    {
        // Using statement ensures the HttpClient is disposed of correctly
        using (var client = new HttpClient())
        {
            // Asynchronously get the response string from the URL
            string content = await client.GetStringAsync(url);
            
            // Once the content is downloaded, return its length
            return content.Length;
        }
    }
}

Explanation:

  1. async and await:
    • The async keyword on a method signature allows the use of the await keyword inside it.
    • The await keyword tells the program to pause the execution of this method until the awaited task (e.g., client.GetStringAsync(url)) is complete.
    • Crucially, it does not block the application's main thread. The thread is free to do other work (like updating a UI or handling other requests). When the download finishes, execution resumes where it left off.
  2. Task<int>: The return type of an async method that returns a value is Task<T>. Task<int> represents a promise that this method will eventually produce an int. When you await it, you "unwrap" the task to get the int result.
  3. HttpClient: This is the modern .NET class for making HTTP requests. GetStringAsync is an asynchronous method that returns a Task<string>.
  4. Main Method: Since C# 7.1, the Main method itself can be async Task, which allows you to use await at the top level of your program for clean, simple code.

create coding exercises in .Net with solutions


Of course! These exercises focus on building a .NET application, specifically an ASP.NET Core Web API, which is one of the most common use cases for .NET today. We'll progress from a simple in-memory API to one that uses a database with Entity Framework Core.

How to Use These Exercises

  • Setup: You will need the .NET SDK installed. We'll use the .NET CLI to create and manage the project.
  • Tools:

Initial Project Setup: Open your terminal and run the following commands:

# Create a new Web API project in a folder named "TodoApi"
dotnet new webapi -o TodoApi

# Navigate into the new project directory
cd TodoApi

This creates a boilerplate project with a sample "WeatherForecast" controller. We will ignore that and create our own.


Level 1: Building a Basic In-Memory API

Goal: Understand the basics of controllers, routing, and returning data.

  • Task: Create a TodoItemsController that manages a hardcoded list of to-do items. It should have one endpoint to get all to-do items.

Solution:

  1. Create a Model: Inside your project, create a new file named TodoItem.cs.

    // TodoApi/TodoItem.cs
    public class TodoItem
    {
        public long Id { get; set; }
        public string? Name { get; set; }
        public bool IsComplete { get; set; }
    }
  2. Create the Controller: Create a new folder named Controllers. Inside it, add a new file named TodoItemsController.cs.

    // TodoApi/Controllers/TodoItemsController.cs
    using Microsoft.AspNetCore.Mvc;
    
    [ApiController] // Marks this class as an API controller
    [Route("api/[controller]")] // Sets the route to /api/TodoItems
    public class TodoItemsController : ControllerBase
    {
        // A static list to act as our in-memory "database"
        private static readonly List<TodoItem> _inMemoryTodoItems = new List<TodoItem>
        {
            new TodoItem { Id = 1, Name = "Learn ASP.NET Core", IsComplete = true },
            new TodoItem { Id = 2, Name = "Build an API", IsComplete = false }
        };
    
        // GET: api/TodoItems
        [HttpGet]
        public ActionResult<IEnumerable<TodoItem>> GetTodoItems()
        {
            // ASP.NET Core automatically serializes this list to JSON
            return _inMemoryTodoItems;
        }
    }
  3. Run and Test:

    • Run the application from your terminal with dotnet run.
    • The output will show a URL like https://localhost:7123.
    • Open your browser or Postman and navigate to https://localhost:7123/api/todoitems.
    • You should see a JSON array of the two to-do items.

Explanation:

  • [ApiController]: Enables helpful API-specific behaviors, like automatic HTTP 400 responses when the model state is invalid.
  • [Route("api/[controller]")]: This is a route template. [controller] is a token that gets replaced by the controller's name minus the "Controller" suffix (so, TodoItems). The final route is /api/TodoItems.
  • [HttpGet]: This attribute marks the GetTodoItems method as a handler for HTTP GET requests.
  • ActionResult<T>: This return type allows you to return either a simple type (IEnumerable<TodoItem>) or an IActionResult (like NotFound(), BadRequest(), etc.). ASP.NET Core handles converting the C# object to a JSON response.

Level 2: Integrating a Database with Entity Framework Core

Goal: Replace the in-memory list with a real database using Entity Framework (EF) Core and enable getting a single item by its ID.

  • Task:
    1. Add EF Core to the project.
    2. Create a DbContext to manage the database connection.
    3. Use Dependency Injection to provide the DbContext to the controller.
    4. Modify the GET endpoint to pull from the database.
    5. Add a new GET endpoint to retrieve a single to-do item by its Id.

Solution:

  1. Install EF Core Packages: Run these commands in your terminal in the project directory. We'll use SQLite for simplicity as it requires no external server setup.

    dotnet add package Microsoft.EntityFrameworkCore.Sqlite
    dotnet add package Microsoft.EntityFrameworkCore.Design
  2. Create the DbContext: Create a new file named TodoContext.cs.

    // TodoApi/TodoContext.cs
    using Microsoft.EntityFrameworkCore;
    
    public class TodoContext : DbContext
    {
        public TodoContext(DbContextOptions<TodoContext> options) : base(options)
        {
        }
    
        public DbSet<TodoItem> TodoItems { get; set; } = null!;
    }
  3. Configure Services in Program.cs: Modify your Program.cs to register the DbContext with the dependency injection container.

    // TodoApi/Program.cs (add these lines)
    using Microsoft.EntityFrameworkCore; // Add this using
    using TodoApi; // Add this using to access TodoContext
    
    var builder = WebApplication.CreateBuilder(args);
    
    // Add services to the container.
    builder.Services.AddControllers();
    
    // *** START: Add EF Core DbContext configuration ***
    builder.Services.AddDbContext<TodoContext>(opt =>
        opt.UseSqlite(builder.Configuration.GetConnectionString("DefaultConnection")));
    // *** END: Add EF Core DbContext configuration ***
    
    // ... rest of the file
  4. Add Connection String: In your appsettings.json file, add a connection string.

    // TodoApi/appsettings.json
    {
      "ConnectionStrings": {
        "DefaultConnection": "Data Source=Todo.db"
      },
      // ... rest of the file
    }
  5. Create the Database using Migrations:

    • Run this command to create a migration file. This file contains code to create your database schema.
      dotnet ef migrations add InitialCreate
    • Run this command to apply the migration and create the Todo.db file.
      dotnet ef database update
  6. Update the Controller: Modify TodoItemsController.cs to use the injected TodoContext.

    // TodoApi/Controllers/TodoItemsController.cs
    using Microsoft.AspNetCore.Mvc;
    using Microsoft.EntityFrameworkCore; // Add this
    
    [ApiController]
    [Route("api/[controller]")]
    public class TodoItemsController : ControllerBase
    {
        private readonly TodoContext _context; // Field to hold the context
    
        // Constructor to receive the context via dependency injection
        public TodoItemsController(TodoContext context)
        {
            _context = context;
        }
    
        // GET: api/TodoItems
        [HttpGet]
        public async Task<ActionResult<IEnumerable<TodoItem>>> GetTodoItems()
        {
            // Asynchronously get all items from the database
            return await _context.TodoItems.ToListAsync();
        }
    
        // GET: api/TodoItems/5
        [HttpGet("{id}")]
        public async Task<ActionResult<TodoItem>> GetTodoItem(long id)
        {
            var todoItem = await _context.TodoItems.FindAsync(id);
    
            if (todoItem == null)
            {
                // Return a 404 Not Found response if the item doesn't exist
                return NotFound();
            }
    
            return todoItem;
        }
    }

Explanation:

  • Dependency Injection (DI): In the controller's constructor, we ask for a TodoContext. Because we registered it in Program.cs, the ASP.NET Core DI container knows how to create an instance and "inject" it for us. This decouples our controller from the database setup.
  • async and await: Database operations are I/O-bound and should always be done asynchronously to avoid blocking the server thread. ToListAsync() and FindAsync() are asynchronous EF Core methods.
  • [HttpGet("{id}")]: The {id} is a route parameter. When a request comes to /api/TodoItems/5, the 5 is automatically mapped to the id parameter of the GetTodoItem method.
  • NotFound(): This is a helper method that returns a standard HTTP 404 response.

Level 3: Creating and Updating Data (POST, PUT, DELETE)

Goal: Complete the CRUD (Create, Read, Update, Delete) functionality of the API.

  • Task: Add POST, PUT, and DELETE endpoints to the TodoItemsController.

Solution: Add the following methods to your TodoItemsController.cs.

// Add these methods inside the TodoItemsController class

// POST: api/TodoItems
[HttpPost]
public async Task<ActionResult<TodoItem>> PostTodoItem(TodoItem todoItem)
{
    _context.TodoItems.Add(todoItem);
    await _context.SaveChangesAsync();

    // Return a 201 Created response with a Location header pointing to the new resource
    return CreatedAtAction(nameof(GetTodoItem), new { id = todoItem.Id }, todoItem);
}

// PUT: api/TodoItems/5
[HttpPut("{id}")]
public async Task<IActionResult> PutTodoItem(long id, TodoItem todoItem)
{
    if (id != todoItem.Id)
    {
        return BadRequest(); // IDs in URL and body must match
    }

    _context.Entry(todoItem).State = EntityState.Modified;

    try
    {
        await _context.SaveChangesAsync();
    }
    catch (DbUpdateConcurrencyException)
    {
        if (!_context.TodoItems.Any(e => e.Id == id))
        {
            return NotFound();
        }
        else
        {
            throw;
        }
    }

    return NoContent(); // Return 204 No Content on successful update
}

// DELETE: api/TodoItems/5
[HttpDelete("{id}")]
public async Task<IActionResult> DeleteTodoItem(long id)
{
    var todoItem = await _context.TodoItems.FindAsync(id);
    if (todoItem == null)
    {
        return NotFound();
    }

    _context.TodoItems.Remove(todoItem);
    await _context.SaveChangesAsync();

    return NoContent();
}

Explanation:

  • [HttpPost]: This method handles creating new resources. The todoItem is deserialized from the JSON request body.
  • CreatedAtAction(...): This is a best-practice response for a POST request. It returns an HTTP 201 Created status. It also adds a Location header to the response, which contains the URL of the newly created item (e.g., /api/TodoItems/3).
  • [HttpPut("{id}")]: This method handles updating an existing resource. It's idempotent, meaning calling it multiple times with the same data should have the same result.
  • _context.Entry(todoItem).State = EntityState.Modified;: This tells EF Core to track the entity as "modified." When SaveChangesAsync is called, EF Core will generate an SQL UPDATE statement.
  • [HttpDelete("{id}")]: This method handles deleting a resource. We first find the item, and if it exists, we remove it from the context and save the changes.
  • NoContent(): A successful PUT or DELETE typically returns an HTTP 204 No Content response, indicating success without sending back a response body.

create coding exercises for experienced in React with solutions


Of course. Here are several coding exercises designed for experienced React developers. These problems focus on performance, architecture, advanced hooks, and state management patterns. Each comes with a detailed solution and explanation.


Exercise 1: The Performant Data Grid

Goal: Understand and apply performance optimization techniques to prevent unnecessary re-renders in a complex component.

  • Problem: You have a DataGrid component that renders a large list of GridRow components. The parent DataGrid component also has a timer that updates its own state every second, causing the entire grid to re-render. Each GridRow has a "Highlight" button that should highlight only that specific row. Your task is to optimize the component so that only the row that is actually highlighted re-renders, and the other rows do not re-render every time the parent's timer ticks.

  • Key Concepts: React.memo, useCallback, useState.


Solution:

DataGrid.jsx (The Parent Component)

import React, { useState, useEffect, useCallback } from 'react';
import GridRow from './GridRow';

// Helper function to generate some mock data
const generateGridData = (count) =>
  Array.from({ length: count }, (_, i) => ({
    id: i,
    name: `Row ${i + 1}`,
    value: Math.floor(Math.random() * 100),
  }));

const initialData = generateGridData(50);

function DataGrid() {
  const [data, setData] = useState(initialData);
  const [highlightedRow, setHighlightedRow] = useState(null);
  const [time, setTime] = useState(new Date());

  // This timer will cause the DataGrid component to re-render every second
  useEffect(() => {
    const timerId = setInterval(() => setTime(new Date()), 1000);
    return () => clearInterval(timerId);
  }, []);

  // Use useCallback to memoize the highlight function.
  // Without this, a new function would be created on every render,
  // breaking the memoization of the GridRow component.
  const handleHighlight = useCallback((rowId) => {
    setHighlightedRow(rowId);
  }, []); // Dependency array is empty because it doesn't depend on component state

  return (
    <div>
      <h1>Performant Data Grid</h1>
      <p>Parent Component Timer: {time.toLocaleTimeString()}</p>
      <div style={{ border: '1px solid black', maxHeight: '400px', overflowY: 'scroll' }}>
        {data.map((row) => (
          <GridRow
            key={row.id}
            row={row}
            isHighlighted={highlightedRow === row.id}
            onHighlight={handleHighlight}
          />
        ))}
      </div>
    </div>
  );
}

export default DataGrid;

GridRow.jsx (The Optimized Child Component)

import React from 'react';

// This is the key: We wrap the component in React.memo
const GridRow = React.memo(function GridRow({ row, isHighlighted, onHighlight }) {
  // This log will demonstrate whether the component re-renders
  console.log(`Rendering row: ${row.name}`);

  const style = {
    padding: '8px',
    borderBottom: '1px solid #eee',
    backgroundColor: isHighlighted ? 'lightblue' : 'white',
  };

  return (
    <div style={style}>
      {row.name} - Value: {row.value}
      <button onClick={() => onHighlight(row.id)} style={{ marginLeft: '10px' }}>
        Highlight
      </button>
    </div>
  );
});

export default GridRow;

Explanation:

  1. The Problem: The setInterval in DataGrid updates the time state every second. This forces DataGrid to re-render, which in turn causes it to re-render all of its children (GridRow components). You can see this by putting a console.log in GridRow without any optimizations – it will log for all 50 rows every second.

  2. React.memo: By wrapping GridRow in React.memo, we tell React to perform a shallow comparison of its props. If the props (row, isHighlighted, onHighlight) have not changed since the last render, React will skip re-rendering this component and reuse the last rendered result.

  3. useCallback: This is the crucial second step. React.memo alone is not enough. In the DataGrid component, the handleHighlight function is defined inside the component body. This means a new instance of the handleHighlight function is created on every single render of DataGrid. When this new function is passed as the onHighlight prop to GridRow, the prop comparison by React.memo fails (because function A !== function B, even if they have the same code). useCallback(fn, deps) returns a memoized version of the function that only changes if one of the dependencies in the deps array has changed. By using useCallback with an empty dependency array [], we ensure that the same function instance is passed to GridRow on every render, allowing React.memo to work correctly.


Exercise 2: Advanced State Management with useReducer and useContext

Goal: Build a scalable state management solution for a feature (like a shopping cart) without relying on external libraries like Redux.

  • Problem: You need to manage the state of a shopping cart. The state is an array of items, and there are multiple actions that can modify it: ADD_ITEM, REMOVE_ITEM, UPDATE_QUANTITY. Using multiple useState calls would be cumbersome and error-prone. Create a centralized state logic using useReducer and provide it to multiple components using useContext.

  • Key Concepts: useReducer, useContext, Complex state objects, Action dispatching.


Solution:

cartContext.js (The Context and Reducer)

import React, { createContext, useReducer, useContext } from 'react';

const CartStateContext = createContext();
const CartDispatchContext = createContext();

const cartReducer = (state, action) => {
  switch (action.type) {
    case 'ADD_ITEM': {
      const existingItem = state.find((item) => item.id === action.payload.id);
      if (existingItem) {
        // If item exists, just update quantity
        return state.map((item) =>
          item.id === action.payload.id ? { ...item, quantity: item.quantity + 1 } : item
        );
      }
      // Otherwise, add new item
      return [...state, { ...action.payload, quantity: 1 }];
    }
    case 'REMOVE_ITEM': {
      return state.filter((item) => item.id !== action.payload.id);
    }
    case 'UPDATE_QUANTITY': {
      return state.map((item) =>
        item.id === action.payload.id
          ? { ...item, quantity: Math.max(0, action.payload.quantity) }
          : item
      ).filter(item => item.quantity > 0); // Also remove if quantity is 0
    }
    default: {
      throw new Error(`Unhandled action type: ${action.type}`);
    }
  }
};

export const CartProvider = ({ children }) => {
  const [state, dispatch] = useReducer(cartReducer, []);

  return (
    <CartStateContext.Provider value={state}>
      <CartDispatchContext.Provider value={dispatch}>
        {children}
      </CartDispatchContext.Provider>
    </CartStateContext.Provider>
  );
};

// Custom hooks to make consuming the context cleaner
export const useCartState = () => useContext(CartStateContext);
export const useCartDispatch = () => useContext(CartDispatchContext);

App.js and Components

import React from 'react';
import { CartProvider, useCartState, useCartDispatch } from './cartContext';

const products = [
  { id: 1, name: 'React Cookbook', price: 35.00 },
  { id: 2, name: 'Advanced Hooks', price: 45.50 },
  { id: 3, name: 'State Management Guide', price: 29.99 },
];

function ProductList() {
  const dispatch = useCartDispatch();

  const handleAdd = (product) => {
    dispatch({ type: 'ADD_ITEM', payload: product });
  };

  return (
    <div>
      <h2>Products</h2>
      {products.map((product) => (
        <div key={product.id} style={{ marginBottom: '10px' }}>
          {product.name} - ${product.price.toFixed(2)}
          <button onClick={() => handleAdd(product)} style={{ marginLeft: '10px' }}>
            Add to Cart
          </button>
        </div>
      ))}
    </div>
  );
}

function ShoppingCart() {
  const cart = useCartState();
  const dispatch = useCartDispatch();

  const handleUpdate = (id, quantity) => {
    dispatch({ type: 'UPDATE_QUANTITY', payload: { id, quantity } });
  };
  
  if (cart.length === 0) {
    return <p>Your cart is empty.</p>;
  }

  const totalPrice = cart.reduce((total, item) => total + item.price * item.quantity, 0);

  return (
    <div>
      <h2>Shopping Cart</h2>
      {cart.map((item) => (
        <div key={item.id}>
          <span>{item.name}</span>
          <input
            type="number"
            value={item.quantity}
            onChange={(e) => handleUpdate(item.id, parseInt(e.target.value, 10))}
            style={{ width: '50px', margin: '0 10px' }}
          />
          <span>${(item.price * item.quantity).toFixed(2)}</span>
        </div>
      ))}
      <h3>Total: ${totalPrice.toFixed(2)}</h3>
    </div>
  );
}

export default function App() {
  return (
    <CartProvider>
      <h1>useReducer + useContext Shopping Cart</h1>
      <ProductList />
      <hr />
      <ShoppingCart />
    </CartProvider>
  );
}

Explanation:

  1. Centralized Logic: All the logic for modifying the cart state lives in one place: the cartReducer. This makes the state transitions predictable and easy to debug.
  2. useReducer: It is preferred over useState when you have complex state logic involving multiple sub-values or when the next state depends on the previous one. It takes a reducer function and an initial state, and returns the current state and a dispatch function.
  3. dispatch: Instead of calling multiple setState functions, components call dispatch({ type: 'ACTION_TYPE', payload: data }). This "action" object is sent to the reducer, which then computes the new state.
  4. useContext: We split the state and dispatch into two separate contexts. This is a common performance optimization. If a component only needs dispatch (which never changes), it won't re-render when the state changes. The CartProvider wraps the application, making the state and dispatch function available to any child component.
  5. Clean Components: The ProductList and ShoppingCart components are clean. They don't contain any state logic themselves; they simply consume the context and dispatch actions. This is a great separation of concerns.

Exercise 3: Creating a Reusable, Type-Safe Custom Hook for Data Fetching

Goal: Abstract away repetitive data-fetching logic into a generic, reusable, and type-safe custom hook.

  • Problem: In many components, you need to fetch data from an API. The logic for handling loading, error, and data states is always the same. Create a custom hook useFetch that encapsulates this logic. It should be generic so it can be used with any API endpoint and data type.

  • Key Concepts: Custom Hooks, useEffect with cleanup, Generics (TypeScript), AbortController for handling unmounted fetches.


Solution:

useFetch.ts (The Custom Hook - TypeScript is used for generics)

import { useState, useEffect } from 'react';

// Define the state structure for our hook
interface FetchState<T> {
  data: T | null;
  loading: boolean;
  error: Error | null;
}

export function useFetch<T>(url: string): FetchState<T> {
  const [state, setState] = useState<FetchState<T>>({
    data: null,
    loading: true,
    error: null,
  });

  useEffect(() => {
    // AbortController is used to cancel the fetch if the component unmounts
    const abortController = new AbortController();
    const signal = abortController.signal;

    const fetchData = async () => {
      // Set initial loading state before fetch
      setState({ data: null, loading: true, error: null });

      try {
        const response = await fetch(url, { signal });

        if (!response.ok) {
          throw new Error(`HTTP error! status: ${response.status}`);
        }

        const data: T = await response.json();
        
        // Check if the request was aborted before setting state
        if (!signal.aborted) {
          setState({ data, loading: false, error: null });
        }
      } catch (error) {
        // Don't update state if the error was due to an abort
        if (error instanceof Error && error.name === 'AbortError') {
          console.log('Fetch aborted');
        } else {
          setState({ data: null, loading: false, error: error as Error });
        }
      }
    };

    fetchData();

    // Cleanup function: this is called when the component unmounts
    return () => {
      abortController.abort();
    };
  }, [url]); // Re-run the effect if the URL changes

  return state;
}

UserProfile.tsx (Component using the hook)

import React from 'react';
import { useFetch } from './useFetch';

// Define the type for our user data
interface User {
  id: number;
  name: string;
  email: string;
}

function UserProfile({ userId }: { userId: number }) {
  const { data: user, loading, error } = useFetch<User>(
    `https://jsonplaceholder.typicode.com/users/${userId}`
  );

  if (loading) {
    return <div>Loading user profile...</div>;
  }

  if (error) {
    return <div>Error: {error.message}</div>;
  }

  if (!user) {
    return null;
  }

  return (
    <div>
      <h2>User Profile</h2>
      <p><strong>ID:</strong> {user.id}</p>
      <p><strong>Name:</strong> {user.name}</p>
      <p><strong>Email:</strong> {user.email}</p>
    </div>
  );
}

export default function App() {
    return <UserProfile userId={1} />
}

Explanation:

  1. Encapsulation: The useFetch hook hides all the complexity of fetching data. The component that uses it only needs to know the URL and how to handle the three possible states: loading, error, and data.
  2. Generics (<T>): By using TypeScript generics, we make the hook type-safe. When we call useFetch<User>(...), TypeScript knows that the data property in the returned state will be of type User or null. This provides excellent autocompletion and prevents type-related bugs.
  3. useEffect Dependency: The useEffect has url in its dependency array. This means if the url prop ever changes, the hook will automatically re-fetch the data for the new URL.
  4. Cleanup with AbortController: This is a critical pattern for any asynchronous operation in useEffect. If the component unmounts while the fetch is still in progress, we need to cancel it. Otherwise, React will throw an error when setState is called on an unmounted component. The AbortController provides a signal that can be passed to fetch, and the abort() method is called in the useEffect cleanup function.

create Angular coding exercises for experienced developer with solutions


Of course. Here are several coding exercises for experienced Angular developers. These problems go beyond the basics and focus on advanced concepts like architectural patterns, performance optimization, RxJS mastery, and dynamic components.


Exercise 1: Advanced State Management with an RxJS-based Service

Goal: Build a robust, reactive, and scalable state management service (a "store") for a feature without relying on a library like NgRx.

  • Problem: You need to manage the state of a "products" feature. This includes a list of products, a loading indicator, an error state, and a selected product. Components should be able to react to state changes without manual change detection, and the state logic must be centralized and testable.

  • Key Concepts: RxJS BehaviorSubject, Observable, shareReplay, distinctUntilChanged, map, Service-based architecture ("store" pattern).


Solution:

products.service.ts (The Reactive Store)

import { Injectable } from '@angular/core';
import { HttpClient } from '@angular/common/http';
import { BehaviorSubject, Observable, throwError } from 'rxjs';
import { catchError, tap, map, distinctUntilChanged, shareReplay } from 'rxjs/operators';

// Define the state structure
export interface Product {
  id: number;
  name: string;
  price: number;
  category: string;
}

export interface ProductsState {
  products: Product[];
  selectedProductId: number | null;
  loading: boolean;
  error: string | null;
}

// Initialize the state
let _state: ProductsState = {
  products: [],
  selectedProductId: null,
  loading: false,
  error: null,
};

@Injectable({
  providedIn: 'root',
})
export class ProductsStoreService {
  // A BehaviorSubject holds the current state value
  private store = new BehaviorSubject<ProductsState>(_state);
  // Expose the state as an Observable
  private state$ = this.store.asObservable();

  // --- Selectors: Public Observables for components to subscribe to ---
  products$ = this.state$.pipe(
    map(state => state.products),
    distinctUntilChanged() // Only emit when the products array reference changes
  );
  selectedProduct$ = this.state$.pipe(
    map(state => state.products.find(p => p.id === state.selectedProductId)),
    distinctUntilChanged()
  );
  loading$ = this.state$.pipe(map(state => state.loading), distinctUntilChanged());
  error$ = this.state$.pipe(map(state => state.error), distinctUntilChanged());

  constructor(private http: HttpClient) {
    // This makes the observable hot and caches the last emitted value
    // for late subscribers.
    this.state$.pipe(shareReplay(1)).subscribe();
  }

  // --- Actions: Methods to update the state ---

  public loadProducts() {
    this.updateState({ ..._state, loading: true, error: null });

    this.http.get<Product[]>('/api/products').pipe( // Use a mock API URL
      tap(products => {
        this.updateState({ ..._state, products, loading: false });
      }),
      catchError(err => {
        this.updateState({ ..._state, error: 'Failed to load products', loading: false });
        return throwError(() => err);
      })
    ).subscribe();
  }

  public selectProduct(productId: number) {
    this.updateState({ ..._state, selectedProductId: productId });
  }
  
  // --- Private state mutation ---
  private updateState(newState: ProductsState) {
    _state = newState;
    this.store.next(_state);
  }
}

product-list.component.ts (Consuming Component)

import { Component, OnInit, ChangeDetectionStrategy } from '@angular/core';
import { ProductsStoreService } from './products.service';
import { Observable } from 'rxjs';
import { Product } from './products.service';

@Component({
  selector: 'app-product-list',
  template: `
    <h2>Products</h2>
    <div *ngIf="loading$ | async">Loading...</div>
    <div *ngIf="error$ | async as error" style="color: red;">{{ error }}</div>
    
    <ul>
      <li *ngFor="let product of (products$ | async)" (click)="selectProduct(product.id)">
        {{ product.name }}
      </li>
    </ul>
  `,
  changeDetection: ChangeDetectionStrategy.OnPush, // Crucial for performance
})
export class ProductListComponent implements OnInit {
  products$: Observable<Product[]>;
  loading$: Observable<boolean>;
  error$: Observable<string | null>;

  constructor(private store: ProductsStoreService) {
    this.products$ = this.store.products$;
    this.loading$ = this.store.loading$;
    this.error$ = this.store.error$;
  }

  ngOnInit() {
    this.store.loadProducts();
  }

  selectProduct(id: number) {
    this.store.selectProduct(id);
  }
}

Explanation:

  1. BehaviorSubject as the Store: A BehaviorSubject is perfect for a state store because it holds the "current" value and emits it to any new subscribers.
  2. Selectors (products$, loading$): We expose specific slices of the state as separate observables. This allows components to subscribe only to the data they need.
  3. distinctUntilChanged(): This operator is a key performance optimization. It ensures that the observable only emits a new value if it's different from the last one, preventing unnecessary re-renders in components.
  4. Immutability: The updateState method creates a new state object ({ ..._state, ... }) every time. This is critical for distinctUntilChanged to work correctly with object references and for Angular's change detection to function predictably.
  5. Actions (loadProducts): Public methods on the service act as "actions" that orchestrate state changes. All state mutations are centralized within the service.
  6. ChangeDetectionStrategy.OnPush: By using the async pipe, our component becomes purely reactive. Setting its change detection to OnPush tells Angular it only needs to re-render when its @Input() properties change or an event it's subscribed to (via the async pipe) emits a new value. This provides a significant performance boost.

Exercise 2: Dynamic Component Loading

Goal: Create a system that can dynamically render different components into a container based on configuration or user input, without using *ngIf or *ngSwitch.

  • Problem: You are building a dashboard where users can add different types of widgets (e.g., a ChartWidgetComponent, a TableWidgetComponent). The list of available widgets is defined in a configuration object. You need to create a WidgetHostDirective and a DashboardComponent that can render the correct widget component into the view at runtime.

  • Key Concepts: ViewContainerRef, ComponentFactoryResolver (pre-Angular 13) / createComponent (Angular 13+), Directives, @Input.


Solution:

widget-host.directive.ts

import { Directive, ViewContainerRef } from '@angular/core';

@Directive({
  selector: '[appWidgetHost]',
})
export class WidgetHostDirective {
  // The directive injects ViewContainerRef to get access to the view container
  // of the element that will host the dynamically added component.
  constructor(public viewContainerRef: ViewContainerRef) {}
}

widget.interface.ts

// An interface that our dynamic components will implement
export interface WidgetComponent {
  data: any;
}

Widget Components (chart-widget.component.ts, table-widget.component.ts)

import { Component, Input } from '@angular/core';
import { WidgetComponent } from './widget.interface';

@Component({
  template: `<h4>Chart Widget</h4><p>Data: {{ data?.source }}</p>`,
})
export class ChartWidgetComponent implements WidgetComponent {
  @Input() data: any;
}

@Component({
  template: `<h4>Table Widget</h4><pre>{{ data | json }}</pre>`,
})
export class TableWidgetComponent implements WidgetComponent {
  @Input() data: any;
}

dashboard.component.ts

import { Component, OnInit, ViewChild, Type, OnDestroy } from '@angular/core';
import { WidgetHostDirective } from './widget-host.directive';
import { ChartWidgetComponent } from './chart-widget.component';
import { TableWidgetComponent } from './table-widget.component';
import { WidgetComponent } from './widget.interface';

// Configuration mapping a widget type string to a component class
const widgetMap: { [key: string]: Type<WidgetComponent> } = {
  chart: ChartWidgetComponent,
  table: TableWidgetComponent,
};

@Component({
  selector: 'app-dashboard',
  template: `
    <h2>Dashboard</h2>
    <select (change)="loadWidget($event)">
      <option value="">-- Select a Widget --</option>
      <option value="chart">Chart</option>
      <option value="table">Table</option>
    </select>
    
    <!-- This is the container where the dynamic component will be inserted -->
    <ng-template appWidgetHost></ng-template>
  `,
})
export class DashboardComponent {
  @ViewChild(WidgetHostDirective, { static: true }) widgetHost!: WidgetHostDirective;
  
  loadWidget(event: Event) {
    const selectedType = (event.target as HTMLSelectElement).value;
    if (!selectedType) return;

    const componentType = widgetMap[selectedType];
    
    // Get the view container from our directive
    const viewContainerRef = this.widgetHost.viewContainerRef;
    viewContainerRef.clear(); // Clear any previously rendered component

    // Create the component and insert it into the view container
    const componentRef = viewContainerRef.createComponent(componentType);

    // Pass data to the newly created component
    componentRef.instance.data = {
      source: selectedType === 'chart' ? 'Sales Data 2023' : { rows: 10, cols: 5 }
    };
  }
}

Explanation:

  1. WidgetHostDirective: This directive's sole purpose is to provide a "handle" to a specific location in the template's DOM. By injecting ViewContainerRef, it gives us programmatic access to that element's container.
  2. @ViewChild: In the DashboardComponent, we use @ViewChild to get an instance of our WidgetHostDirective from the template.
  3. viewContainerRef.createComponent(): This is the core of dynamic component loading in modern Angular. It takes a component class (not a selector string) and creates an instance of it, attaching it to the view container. This method returns a ComponentRef, which gives you access to the component's instance, allowing you to set @Input properties or subscribe to @Output events.
  4. Configuration (widgetMap): Using a map to link a string identifier to a component Type makes the system extensible. To add a new widget, you only need to create the component and add it to the map.
  5. ng-template: We apply the directive to an <ng-template> because it's a lightweight, "commented-out" element that serves as a perfect anchor point without adding any extra elements to the DOM itself.

Exercise 3: Creating a Custom Structural Directive

Goal: Understand the inner workings of structural directives by creating a custom one that combines the functionality of *ngIf and provides a context variable.

  • Problem: You often find yourself needing to fetch data and then check if it exists before rendering a template, while also providing the data to that template. The standard *ngIf="data$ | async as data" is good, but let's create a custom directive called *appIfData that explicitly handles a null or undefined state and provides the data as a context variable.

  • Key Concepts: Structural Directives, TemplateRef, ViewContainerRef, Input, Directive Context.


Solution:

if-data.directive.ts

import { Directive, Input, TemplateRef, ViewContainerRef } from '@angular/core';

// Define the shape of our directive's context object
interface IfDataContext<T> {
  appIfData: T;
  $implicit: T; // This allows us to use "let data" syntax
}

@Directive({
  selector: '[appIfData]',
})
export class IfDataDirective<T> {
  private hasView = false;

  // We need to inject TemplateRef (what to stamp) and ViewContainerRef (where to stamp it)
  constructor(
    private templateRef: TemplateRef<IfDataContext<T>>,
    private viewContainer: ViewContainerRef
  ) {}
  
  // The 'set' allows us to run logic whenever the input value changes
  @Input() set appIfData(data: T) {
    // Condition to check if data is "truthy" enough to render
    const condition = data !== null && data !== undefined;

    if (condition && !this.hasView) {
      // If we should render but haven't yet, create the view
      this.viewContainer.createEmbeddedView(this.templateRef, {
        appIfData: data,
        $implicit: data,
      });
      this.hasView = true;
    } else if (!condition && this.hasView) {
      // If we shouldn't render but a view exists, clear it
      this.viewContainer.clear();
      this.hasView = false;
    }
  }
}

app.component.ts

import { Component } from '@angular/core';
import { of, Observable } from 'rxjs';
import { delay } from 'rxjs/operators';

@Component({
  selector: 'app-root',
  template: `
    <h2>Custom Structural Directive Demo</h2>
    
    <button (click)="loadData()">Load Data</button>
    <button (click)="clearData()">Clear Data</button>
    
    <!-- Using the custom directive -->
    <div *appIfData="user$ | async; let user">
      <h3>User Details Loaded:</h3>
      <p>Name: {{ user.name }}</p>
      <p>ID: {{ user.id }}</p>
    </div>
    
    <!-- A message to show it's not rendered -->
    <div *ngIf="!(user$ | async)">
      <p>No user data to display. Click "Load Data".</p>
    </div>
  `,
})
export class AppComponent {
  user$: Observable<{ id: number; name: string } | null> = of(null);

  loadData() {
    this.user$ = of({ id: 1, name: 'John Doe' }).pipe(delay(1000));
  }

  clearData() {
    this.user$ = of(null);
  }
}

Explanation:

  1. TemplateRef and ViewContainerRef: These are the two fundamental building blocks for a structural directive.
    • TemplateRef: Represents the embedded template that the directive is attached to (the <div> in our example).
    • ViewContainerRef: Represents the container in the DOM where the template will be rendered.
  2. Input Setter: By using a set on the @Input(), we can execute logic every time the data bound to [appIfData] changes. This is where we decide whether to create or destroy the embedded view.
  3. createEmbeddedView: This method on ViewContainerRef "stamps out" the template. Crucially, its second argument is a context object.
  4. Directive Context: The properties of the context object become available as template variables.
    • The $implicit property is special. It allows the let user syntax without specifying a key (e.g., let user = data).
    • We also provide a named property appIfData, which would allow for the let user = appIfData syntax if desired.

create SQL coding exercises for experienced developer with solutions


Of course. Here is a set of advanced SQL coding exercises designed for experienced developers. These problems focus on complex joins, window functions, common table expressions (CTEs), recursive queries, and performance considerations.

Database Schema and Setup

All exercises will use the following schema for a more complex business scenario involving employees, departments, projects, and salaries. This setup code can be run in PostgreSQL or adapted for other modern SQL databases.

SQL Setup Code:

-- Create Tables
CREATE TABLE Departments (
    department_id INT PRIMARY KEY,
    department_name VARCHAR(50) NOT NULL
);

CREATE TABLE Employees (
    employee_id INT PRIMARY KEY,
    first_name VARCHAR(50) NOT NULL,
    last_name VARCHAR(50) NOT NULL,
    email VARCHAR(100) UNIQUE,
    hire_date DATE NOT NULL,
    department_id INT,
    manager_id INT,
    FOREIGN KEY (department_id) REFERENCES Departments(department_id),
    FOREIGN KEY (manager_id) REFERENCES Employees(employee_id)
);

CREATE TABLE Projects (
    project_id INT PRIMARY KEY,
    project_name VARCHAR(100) NOT NULL,
    start_date DATE,
    end_date DATE
);

CREATE TABLE Employee_Projects (
    employee_id INT,
    project_id INT,
    PRIMARY KEY (employee_id, project_id),
    FOREIGN KEY (employee_id) REFERENCES Employees(employee_id),
    FOREIGN KEY (project_id) REFERENCES Projects(project_id)
);

CREATE TABLE Salaries (
    employee_id INT,
    salary DECIMAL(10, 2) NOT NULL,
    from_date DATE NOT NULL,
    to_date DATE NOT NULL,
    PRIMARY KEY (employee_id, from_date),
    FOREIGN KEY (employee_id) REFERENCES Employees(employee_id)
);

-- Insert Sample Data
INSERT INTO Departments (department_id, department_name) VALUES
(1, 'Engineering'),
(2, 'Human Resources'),
(3, 'Sales'),
(4, 'Marketing');

INSERT INTO Employees (employee_id, first_name, last_name, email, hire_date, department_id, manager_id) VALUES
(1, 'James', 'Smith', '[email protected]', '2018-06-10', 1, NULL),
(2, 'Maria', 'Garcia', '[email protected]', '2019-03-15', 1, 1),
(3, 'David', 'Johnson', '[email protected]', '2019-08-21', 1, 1),
(4, 'Patricia', 'Miller', '[email protected]', '2020-01-30', 2, NULL),
(5, 'Robert', 'Davis', '[email protected]', '2020-05-12', 3, NULL),
(6, 'Linda', 'Rodriguez', '[email protected]', '2021-11-01', 3, 5),
(7, 'Michael', 'Wilson', '[email protected]', '2022-02-18', 1, 2),
(8, 'Susan', 'Moore', '[email protected]', '2022-07-22', 4, NULL);

INSERT INTO Projects (project_id, project_name, start_date, end_date) VALUES
(101, 'Phoenix Project', '2021-01-01', '2023-12-31'),
(102, 'Orion Initiative', '2022-05-01', '2024-06-30'),
(103, 'Marketing Campaign Q3', '2022-07-01', '2022-09-30');

INSERT INTO Employee_Projects (employee_id, project_id) VALUES
(1, 101), (1, 102),
(2, 101),
(3, 102),
(7, 101), (7, 102),
(8, 103);

INSERT INTO Salaries (employee_id, salary, from_date, to_date) VALUES
(1, 120000, '2018-06-10', '2020-12-31'),
(1, 135000, '2021-01-01', '9999-01-01'), -- Current salary
(2, 90000, '2019-03-15', '9999-01-01'),
(3, 92000, '2019-08-21', '9999-01-01'),
(4, 80000, '2020-01-30', '9999-01-01'),
(5, 110000, '2020-05-12', '9999-01-01'),
(6, 85000, '2021-11-01', '9999-01-01'),
(7, 95000, '2022-02-18', '9999-01-01'),
(8, 75000, '2022-07-22', '9999-01-01');

Note: The 9999-01-01 date is a common convention to represent "current" or "to date" in a temporal table.


Exercise 1: Departmental Salary Analysis

Goal: Combine aggregations with window functions to compare individual salaries to departmental averages.

  • Task: For each employee, display their full name, department name, their current salary, and the average current salary for their department. Also include a column showing the difference between their salary and the department average.

  • Key Concepts: CTEs, Window Functions (AVG() OVER (PARTITION BY ...)), Joins.


Solution:

WITH CurrentSalaries AS (
    -- Step 1: Isolate the current salary for each employee
    SELECT
        employee_id,
        salary
    FROM Salaries
    WHERE to_date = '9999-01-01'
),
DepartmentalAvg AS (
    -- Step 2: Calculate average salary per department using a window function
    SELECT
        e.employee_id,
        e.first_name,
        e.last_name,
        d.department_name,
        cs.salary,
        AVG(cs.salary) OVER (PARTITION BY e.department_id) AS avg_department_salary
    FROM Employees AS e
    JOIN Departments AS d ON e.department_id = d.department_id
    JOIN CurrentSalaries AS cs ON e.employee_id = cs.employee_id
)
-- Step 3: Calculate the difference and present the final result
SELECT
    first_name,
    last_name,
    department_name,
    salary,
    ROUND(avg_department_salary, 2) AS avg_department_salary,
    ROUND(salary - avg_department_salary, 2) AS salary_difference
FROM DepartmentalAvg
ORDER BY department_name, salary DESC;

Explanation:

  1. The CurrentSalaries CTE filters the Salaries table to get only the active salary records. This is crucial for temporal tables.
  2. The DepartmentalAvg CTE joins the employees, departments, and current salaries.
  3. The key is the window function AVG(cs.salary) OVER (PARTITION BY e.department_id).
    • PARTITION BY e.department_id tells the AVG function to only consider rows within the same department for its calculation.
    • Unlike GROUP BY, a window function calculates the average for each partition but returns a value for every row, allowing us to compare the individual row's salary to the calculated average for its group.
  4. The final SELECT statement performs the simple subtraction and formatting.

Exercise 2: Recursive Query for Organizational Hierarchy

Goal: Traverse a self-referencing relationship to build a hierarchical view.

  • Task: Write a query that displays the full organizational hierarchy, showing each employee, their manager, and their level in the hierarchy (e.g., CEO is level 1, their direct reports are level 2, etc.).

  • Key Concepts: Recursive CTEs.


Solution:

WITH RECURSIVE EmployeeHierarchy AS (
    -- 1. Anchor Member: Select the top-level employees (those with no manager)
    SELECT
        employee_id,
        first_name,
        last_name,
        manager_id,
        1 AS hierarchy_level,
        CAST(first_name || ' ' || last_name AS VARCHAR(255)) AS path
    FROM Employees
    WHERE manager_id IS NULL

    UNION ALL

    -- 2. Recursive Member: Join back to the CTE itself
    SELECT
        e.employee_id,
        e.first_name,
        e.last_name,
        e.manager_id,
        h.hierarchy_level + 1,
        CAST(h.path || ' -> ' || e.first_name || ' ' || e.last_name AS VARCHAR(255))
    FROM Employees AS e
    JOIN EmployeeHierarchy AS h ON e.manager_id = h.employee_id
)
SELECT
    h.employee_id,
    h.hierarchy_level,
    h.first_name || ' ' || h.last_name AS employee_name,
    mgr.first_name || ' ' || mgr.last_name AS manager_name,
    h.path
FROM EmployeeHierarchy h
LEFT JOIN Employees mgr ON h.manager_id = mgr.employee_id
ORDER BY h.path;

Explanation:

  1. WITH RECURSIVE: This syntax initiates a recursive CTE.
  2. Anchor Member: This is the non-recursive part of the query. It selects the "base case"—the employees at the top of the hierarchy (where manager_id IS NULL). We initialize hierarchy_level to 1. The path column is created to visualize the hierarchy.
  3. UNION ALL: This combines the results of the anchor and recursive members.
  4. Recursive Member: This part of the query references the CTE itself (EmployeeHierarchy). It joins the Employees table back to the results of the previous iteration (h). For each employee e whose manager e.manager_id is already in the hierarchy h, it adds them to the result set, incrementing the hierarchy_level and appending their name to the path.
  5. The final SELECT joins the hierarchy results with the Employees table again (a self-join) to get the manager's name for display purposes.

Exercise 3: Finding Overlapping Project Timelines

Goal: Identify complex relationships between records based on date ranges.

  • Task: Write a query to find all pairs of projects that have overlapping time periods. For each pair, show the project names and their start and end dates. Avoid listing the same pair twice (e.g., A-B and B-A) and don't list a project overlapping with itself.

  • Key Concepts: Self-join, Complex ON clause logic for date ranges.


Solution:

SELECT
    p1.project_name AS project_1,
    p1.start_date AS project_1_start,
    p1.end_date AS project_1_end,
    p2.project_name AS project_2,
    p2.start_date AS project_2_start,
    p2.end_date AS project_2_end
FROM Projects p1
JOIN Projects p2 ON
    -- Condition 1: Ensure we don't compare a project with itself or list pairs twice.
    p1.project_id < p2.project_id
    AND
    -- Condition 2: The core overlap logic.
    -- Project 1's start date must be before Project 2's end date,
    -- AND Project 1's end date must be after Project 2's start date.
    p1.start_date <= p2.end_date AND p1.end_date >= p2.start_date;

Explanation:

  • The query performs a self-join on the Projects table, allowing us to compare every project with every other project.
  • p1.project_id < p2.project_id: This is a simple but powerful trick. By only joining where the ID of the first project is less than the second, we automatically solve two problems:
    1. A project cannot be compared with itself (since p1.project_id can't be less than p1.project_id).
    2. Duplicate pairs are eliminated. We will get the pair (101, 102) but not (102, 101), because 102 < 101 is false.
  • The Overlap Logic: The condition p1.start_date <= p2.end_date AND p1.end_date >= p2.start_date is the standard, most robust way to check for any kind of date range overlap. It covers all cases (one range containing another, partial overlaps at the beginning or end, etc.).

Exercise 4: The "Top N per Group" Problem

Goal: Solve a common and complex analytical query: finding the top N records within different groups.

  • Task: Find the top 2 highest-paid employees in each department based on their current salary. If there are ties in salary, list all tied employees.

  • Key Concepts: Window Functions (RANK() or DENSE_RANK()), CTEs.


Solution:

WITH CurrentSalaries AS (
    SELECT
        employee_id,
        salary
    FROM Salaries
    WHERE to_date = '9999-01-01'
),
RankedSalaries AS (
    SELECT
        e.employee_id,
        e.first_name,
        e.last_name,
        d.department_name,
        cs.salary,
        -- Use RANK() or DENSE_RANK() to assign a rank within each department
        RANK() OVER (PARTITION BY d.department_id ORDER BY cs.salary DESC) as salary_rank
    FROM Employees e
    JOIN Departments d ON e.department_id = d.department_id
    JOIN CurrentSalaries cs ON e.employee_id = cs.employee_id
)
SELECT
    employee_id,
    first_name,
    last_name,
    department_name,
    salary,
    salary_rank
FROM RankedSalaries
WHERE salary_rank <= 2
ORDER BY department_name, salary_rank;

Explanation:

  1. We first create the CurrentSalaries CTE as before to isolate the relevant salary data.
  2. The RankedSalaries CTE is where the magic happens.
    • RANK() OVER (PARTITION BY d.department_id ORDER BY cs.salary DESC): This window function is the ideal tool for this problem.
      • PARTITION BY d.department_id: This divides the employees into groups by department. The RANK() function will restart its counting for each new department.
      • ORDER BY cs.salary DESC: Within each department, it orders the employees by salary from highest to lowest.
      • RANK(): Assigns a rank based on the ordering. RANK() will skip numbers if there are ties (e.g., 1, 1, 3), while DENSE_RANK() would not (e.g., 1, 1, 2). For this problem, either is acceptable, but RANK() is often used to show that a tie occurred.
  3. The final query is a simple SELECT from the RankedSalaries CTE, filtering for rows where the calculated salary_rank is less than or equal to 2.

create C# coding exercises for experienced developer with solutions


Of course. Here are several C# coding exercises designed for experienced developers. These problems go beyond basic syntax and focus on advanced language features, design patterns, asynchronous programming, and performance.


Exercise 1: Asynchronous and Concurrent Data Processor

Goal: Master advanced async/await patterns, including concurrent processing and handling throttling.

  • Problem: You have a list of URLs that need to be processed. The processing involves two steps: (1) downloading the content of the URL, and (2) performing a CPU-intensive analysis on the content (e.g., counting specific words). Your task is to build a DataProcessor that can process these URLs concurrently to improve performance, but with a configurable degree of parallelism to avoid overwhelming the network or CPU.

  • Key Concepts: async/await, Task.WhenAll, SemaphoreSlim for throttling, HttpClientFactory for managing HttpClient.


Solution:

Setup: This exercise is best suited for a console application. You'll need to add the Microsoft.Extensions.Http package for HttpClientFactory.

dotnet add package Microsoft.Extensions.Http

DataProcessor.cs

using System;
using System.Collections.Generic;
using System.Linq;
using System.Net.Http;
using System.Threading;
using System.Threading.Tasks;

public class DataProcessor
{
    private readonly IHttpClientFactory _httpClientFactory;

    public DataProcessor(IHttpClientFactory httpClientFactory)
    {
        _httpClientFactory = httpClientFactory;
    }

    public async Task ProcessUrlsAsync(IEnumerable<string> urls, int maxConcurrency)
    {
        // SemaphoreSlim is a lightweight semaphore used to limit concurrency.
        using var semaphore = new SemaphoreSlim(maxConcurrency);
        
        var processingTasks = new List<Task>();

        foreach (var url in urls)
        {
            // Wait until a "slot" is available in the semaphore.
            await semaphore.WaitAsync();

            // Start the processing task and add it to our list.
            // We don't await it here, allowing multiple tasks to run concurrently.
            processingTasks.Add(Task.Run(async () =>
            {
                try
                {
                    Console.WriteLine($"[START] Processing {url}");
                    string content = await DownloadContentAsync(url);
                    int wordCount = PerformCpuIntensiveAnalysis(content);
                    Console.WriteLine($"[END] {url} - Word count: {wordCount}");
                }
                catch (Exception ex)
                {
                    Console.WriteLine($"[ERROR] Processing {url}: {ex.Message}");
                }
                finally
                {
                    // Release the semaphore slot so another task can start.
                    semaphore.Release();
                }
            }));
        }

        // Wait for all the started processing tasks to complete.
        await Task.WhenAll(processingTasks);
        Console.WriteLine("All URLs processed.");
    }

    private async Task<string> DownloadContentAsync(string url)
    {
        var client = _httpClientFactory.CreateClient();
        // Add a timeout to prevent hanging on unresponsive servers
        client.Timeout = TimeSpan.FromSeconds(15);
        return await client.GetStringAsync(url);
    }

    private int PerformCpuIntensiveAnalysis(string content)
    {
        // Simulate a CPU-bound operation
        Thread.Sleep(TimeSpan.FromMilliseconds(new Random().Next(100, 500)));
        return content.Split(new[] { ' ', '\r', '\n' }, StringSplitOptions.RemoveEmptyEntries)
                      .Count(word => word.Equals("the", StringComparison.OrdinalIgnoreCase));
    }
}

Program.cs (Usage)

using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Http;
using System;
using System.Collections.Generic;
using System.Threading.Tasks;

public class Program
{
    public static async Task Main(string[] args)
    {
        // Setup Dependency Injection for HttpClientFactory
        var serviceProvider = new ServiceCollection()
            .AddHttpClient()
            .BuildServiceProvider();

        var httpClientFactory = serviceProvider.GetRequiredService<IHttpClientFactory>();
        var processor = new DataProcessor(httpClientFactory);

        var urls = new List<string>
        {
            "https://www.microsoft.com",
            "https://www.google.com",
            "https://www.amazon.com",
            "https://www.apple.com",
            "https://www.facebook.com",
            "https://www.netflix.com",
            "https://www.example.com", // This is fast
            "http://thishostdoesnotexist.fail" // This will fail
        };
        
        // Process with a concurrency level of 3
        await processor.ProcessUrlsAsync(urls, 3);
    }
}

Explanation:

  1. SemaphoreSlim for Throttling: SemaphoreSlim is initialized with a maxConcurrency count. The await semaphore.WaitAsync() call acts as a gate. If the semaphore's count is above zero, it decrements the count and continues immediately. If the count is zero, it asynchronously waits until another task calls semaphore.Release(). This effectively limits the number of concurrently running Task.Run blocks to the specified maximum.
  2. Fire-and-Forget (with Task.WhenAll): We loop through the URLs and start tasks without awaiting them individually. This "fires off" the tasks. We store these Task objects in a list. Task.WhenAll(processingTasks) then asynchronously waits for every task in the list to finish, ensuring the entire operation is complete before ProcessUrlsAsync returns.
  3. IHttpClientFactory: Using IHttpClientFactory (via dependency injection) is the modern, recommended way to manage HttpClient instances. It handles the lifetime of underlying HttpMessageHandlers, preventing common issues like socket exhaustion.
  4. Error Handling per Task: The try...catch block is inside the Task.Run delegate. This ensures that an exception in one URL's processing does not crash the entire operation. The other tasks can continue to run.
  5. finally block: The semaphore.Release() is placed in a finally block to guarantee that the semaphore slot is released, even if an exception occurs during processing.

Exercise 2: Implementing a Generic Repository with Unit of Work Pattern

Goal: Design and implement a reusable, generic data access layer that supports transactional operations.

  • Problem: In a data-driven application, you often repeat the same CRUD (Create, Read, Update, Delete) logic for different entities. You also need to ensure that multiple database operations can be committed or rolled back together as a single transaction. Create a generic IRepository<T> interface, a concrete Repository<T> implementation using Entity Framework Core, and a UnitOfWork class to manage transactions.

  • Key Concepts: Generic Types (<T>), Repository Pattern, Unit of Work Pattern, Entity Framework Core DbContext, Dependency Injection.


Solution:

Setup: Create an ASP.NET Core Web API project or a Console App. Add the required EF Core packages.

dotnet add package Microsoft.EntityFrameworkCore
dotnet add package Microsoft.EntityFrameworkCore.InMemory # For easy testing

Interfaces.cs

using System;
using System.Collections.Generic;
using System.Linq.Expressions;
using System.Threading.Tasks;

public interface IRepository<TEntity> where TEntity : class
{
    Task<TEntity?> GetByIdAsync(object id);
    Task<IEnumerable<TEntity>> GetAllAsync();
    Task<IEnumerable<TEntity>> FindAsync(Expression<Func<TEntity, bool>> predicate);
    Task AddAsync(TEntity entity);
    void Remove(TEntity entity);
}

public interface IUnitOfWork : IDisposable
{
    // A repository for each aggregate root in your domain
    IRepository<Product> Products { get; }
    IRepository<Order> Orders { get; }

    Task<int> CommitAsync();
}

Note: We would define Product and Order classes elsewhere.

Repository.cs and UnitOfWork.cs (Implementation)

using Microsoft.EntityFrameworkCore;
using System.Linq;
// ... plus other usings from Interfaces.cs

// A sample DbContext
public class AppDbContext : DbContext
{
    public AppDbContext(DbContextOptions<AppDbContext> options) : base(options) { }
    public DbSet<Product> Products { get; set; } = null!;
    public DbSet<Order> Orders { get; set; } = null!;
}

// Generic Repository Implementation
public class Repository<TEntity> : IRepository<TEntity> where TEntity : class
{
    protected readonly DbContext _context;
    protected readonly DbSet<TEntity> _dbSet;

    public Repository(DbContext context)
    {
        _context = context;
        _dbSet = context.Set<TEntity>();
    }

    public async Task AddAsync(TEntity entity) => await _dbSet.AddAsync(entity);
    public async Task<IEnumerable<TEntity>> FindAsync(Expression<Func<TEntity, bool>> predicate) => await _dbSet.Where(predicate).ToListAsync();
    public async Task<IEnumerable<TEntity>> GetAllAsync() => await _dbSet.ToListAsync();
    public async Task<TEntity?> GetByIdAsync(object id) => await _dbSet.FindAsync(id);
    public void Remove(TEntity entity) => _dbSet.Remove(entity);
}

// Unit of Work Implementation
public class UnitOfWork : IUnitOfWork
{
    private readonly AppDbContext _context;
    private bool _disposed = false;

    // Repositories are lazily instantiated
    private IRepository<Product>? _products;
    private IRepository<Order>? _orders;

    public IRepository<Product> Products => _products ??= new Repository<Product>(_context);
    public IRepository<Order> Orders => _orders ??= new Repository<Order>(_context);

    public UnitOfWork(AppDbContext context)
    {
        _context = context;
    }

    public async Task<int> CommitAsync()
    {
        return await _context.SaveChangesAsync();
    }
    
    public void Dispose()
    {
        Dispose(true);
        GC.SuppressFinalize(this);
    }
    
    protected virtual void Dispose(bool disposing)
    {
        if (!_disposed && disposing)
        {
            _context.Dispose();
        }
        _disposed = true;
    }
}

Note: Product and Order are placeholder entity classes.

Usage (e.g., in a Service or Controller)

public class OrderProcessingService
{
    private readonly IUnitOfWork _unitOfWork;

    public OrderProcessingService(IUnitOfWork unitOfWork)
    {
        _unitOfWork = unitOfWork;
    }

    public async Task CreateOrderAsync(int productId, int quantity)
    {
        using (_unitOfWork)
        {
            var product = await _unitOfWork.Products.GetByIdAsync(productId);
            if (product == null) throw new Exception("Product not found.");
            if (product.Stock < quantity) throw new Exception("Insufficient stock.");

            // 1. Update Product stock
            product.Stock -= quantity;

            // 2. Create a new Order
            var newOrder = new Order { ProductId = productId, Quantity = quantity, OrderDate = DateTime.UtcNow };
            await _unitOfWork.Orders.AddAsync(newOrder);

            // Commit both changes as a single transaction
            await _unitOfWork.CommitAsync();
        }
    }
}

Explanation:

  1. Generic IRepository<T>: This interface defines a standard contract for data access operations. Using generics (<TEntity>) means we don't have to write a new interface for Products, Orders, etc.
  2. Repository<T> Implementation: This class provides a concrete implementation using EF Core's DbSet<T>. It can work with any entity class (where TEntity : class).
  3. IUnitOfWork: This acts as a facade over the DbContext. It exposes properties for each repository (Products, Orders) and, most importantly, a single CommitAsync method. This centralizes the call to DbContext.SaveChangesAsync().
  4. Transactional Integrity: In OrderProcessingService, two separate operations happen: updating a product's stock and creating a new order. By wrapping them in a using block for the UnitOfWork and calling CommitAsync only once at the end, we ensure both operations either succeed together or fail together. EF Core's SaveChanges automatically wraps its operations in a database transaction.
  5. Decoupling: The service layer (OrderProcessingService) depends on the IUnitOfWork and IRepository abstractions, not on the concrete EF Core implementation. This makes the application easier to test (you can mock the interfaces) and potentially switch data access technologies in the future.

Exercise 3: Reflection-Based Object Mapper

Goal: Understand the power and pitfalls of reflection by building a simple object-to-object mapper.

  • Problem: While libraries like AutoMapper are feature-rich, it's a great exercise to understand how they work under the hood. Create a static SimpleMapper class that has one method, Map<TSource, TDestination>(TSource source), which creates a new instance of TDestination and copies the values of properties from the source object to the destination object where the property names and types match.

  • Key Concepts: Reflection (typeof, GetProperties), Generics, Caching with Dictionaries for performance.


Solution:

using System;
using System.Collections.Concurrent;
using System.Collections.Generic;
using System.Linq;
using System.Reflection;

public static class SimpleMapper
{
    // Cache the mapping functions to avoid repeated reflection, which is slow.
    // ConcurrentDictionary is used for thread safety.
    private static readonly ConcurrentDictionary<Tuple<Type, Type>, Action<object, object>> _mapperCache = new();

    public static TDestination Map<TSource, TDestination>(TSource source)
        where TDestination : new() // Constraint: Destination must have a parameterless constructor
    {
        if (source == null)
        {
            return default!;
        }

        var destination = new TDestination();
        var mappingAction = GetOrCreateMappingAction(typeof(TSource), typeof(TDestination));
        
        mappingAction(source, destination);

        return destination;
    }

    private static Action<object, object> GetOrCreateMappingAction(Type sourceType, Type destinationType)
    {
        return _mapperCache.GetOrAdd(Tuple.Create(sourceType, destinationType), _ =>
        {
            var sourceProps = sourceType.GetProperties(BindingFlags.Public | BindingFlags.Instance)
                .Where(p => p.CanRead)
                .ToDictionary(p => p.Name);

            var destProps = destinationType.GetProperties(BindingFlags.Public | BindingFlags.Instance)
                .Where(p => p.CanWrite);

            var actions = new List<Action<object, object>>();

            foreach (var destProp in destProps)
            {
                if (sourceProps.TryGetValue(destProp.Name, out var sourceProp) && destProp.PropertyType == sourceProp.PropertyType)
                {
                    // Create a specific action for this property pair
                    actions.Add((src, dest) => 
                    {
                        var value = sourceProp.GetValue(src);
                        destProp.SetValue(dest, value);
                    });
                }
            }

            // Combine all property-setting actions into a single delegate
            return (src, dest) =>
            {
                foreach (var action in actions)
                {
                    action(src, dest);
                }
            };
        });
    }
}

Usage

public class User
{
    public int Id { get; set; }
    public string FirstName { get; set; } = string.Empty;
    public string LastName { get; set; } = string.Empty;
    public DateTime DateOfBirth { get; set; }
}

public class UserViewModel
{
    public int Id { get; set; }
    public string FullName { get; set; } = string.Empty; // This won't be mapped
    public int Age { get; set; } // This won't be mapped
    public string FirstName { get; set; } = string.Empty; // This will be mapped
}

public class Program
{
    public static void Main(string[] args)
    {
        var user = new User { Id = 1, FirstName = "John", LastName = "Doe", DateOfBirth = new DateTime(1990, 5, 15) };
        
        // Perform the mapping
        var viewModel = SimpleMapper.Map<User, UserViewModel>(user);

        Console.WriteLine($"Mapped FirstName: {viewModel.FirstName}"); // "John"
        Console.WriteLine($"Id: {viewModel.Id}"); // 1
        Console.WriteLine($"FullName: {viewModel.FullName}"); // Empty, as there's no matching source property
    }
}

Explanation:

  1. Reflection: The core logic uses Type.GetProperties() to inspect the public, instance properties of the source and destination types at runtime.
  2. Property Matching: It iterates through the destination properties and looks for a source property with the exact same name and type. This is a simple but effective matching strategy.
  3. Performance and Caching: Reflection is notoriously slow. Calling GetProperties() repeatedly for the same type pair would be a major performance bottleneck. The _mapperCache is critical. It stores a compiled Action<object, object> delegate for each type pair. The first time Map<User, UserViewModel> is called, it performs the reflection, builds the delegate, and stores it. Subsequent calls for the same types will retrieve the cached delegate instantly from the ConcurrentDictionary, completely avoiding reflection.
  4. Generics and Constraints: The method is generic (<TSource, TDestination>), making it reusable. The where TDestination : new() constraint is important because it ensures that we can create an instance of the destination type with new TDestination().
  5. Delegate Compilation: The code creates a list of small Action delegates, one for each property to be copied. It then combines them into a single delegate. This is more efficient than looping through PropertyInfo objects and calling GetValue/SetValue on every map operation. The compiled delegate is what gets cached.

create .Net coding exercises for experienced developer with solutions


Of course. Here are several .NET coding exercises for experienced developers. These exercises are designed to test knowledge of architectural patterns, advanced framework features, performance, and concurrency within the .NET ecosystem.


Exercise 1: Building a Pluggable and Extensible Application using MEF or Dependency Injection

Goal: Design an application where new functionality can be added by simply dropping a new assembly (DLL) into a folder, without recompiling the main application.

  • Problem: You are building a data processing pipeline. The main application defines an IProcessor interface. You need to be able to load and execute all IProcessor implementations found in DLLs within a specific "plugins" directory. This should be done at runtime.

  • Key Concepts: Reflection, Assembly Loading, Dependency Injection (DI) with convention-based registration, or Managed Extensibility Framework (MEF) concepts.


Solution (using .NET's built-in DI and Reflection):

1. Define the Contract (in a shared Class Library project):

  • Create a new Class Library project named Plugin.Contracts.
  • This library will be referenced by both the main application and all plugins.

IProcessor.cs in Plugin.Contracts

namespace Plugin.Contracts;

public interface IProcessor
{
    string ProcessorName { get; }
    Task<string> ProcessAsync(string input);
}

2. Create a Plugin (in a separate Class Library project):

  • Create a new Class Library project named TextPlugins.
  • Reference the Plugin.Contracts project.

ToUpperProcessor.cs in TextPlugins

using Plugin.Contracts;

namespace TextPlugins;

public class ToUpperProcessor : IProcessor
{
    public string ProcessorName => "To Upper Case";
    public Task<string> ProcessAsync(string input)
    {
        return Task.FromResult(input.ToUpper());
    }
}

ReverseProcessor.cs in TextPlugins

using Plugin.Contracts;
using System.Linq;

namespace TextPlugins;

public class ReverseProcessor : IProcessor
{
    public string ProcessorName => "Reverse String";
    public Task<string> ProcessAsync(string input)
    {
        return Task.FromResult(new string(input.Reverse().ToArray()));
    }
}

3. Create the Host Application (Console App):

  • Create a new Console App project named PluginHostApp.
  • Reference the Plugin.Contracts project.
  • Add the Microsoft.Extensions.DependencyInjection package: dotnet add package Microsoft.Extensions.DependencyInjection

Program.cs in PluginHostApp

using Microsoft.Extensions.DependencyInjection;
using Plugin.Contracts;
using System.Reflection;

public class Program
{
    public static async Task Main(string[] args)
    {
        var services = new ServiceCollection();
        
        // Register plugins
        LoadAndRegisterPlugins(services);
        
        var serviceProvider = services.BuildServiceProvider();

        // --- Usage ---
        // Get all registered IProcessor instances
        var processors = serviceProvider.GetServices<IProcessor>();

        Console.WriteLine($"{processors.Count()} processors loaded.");
        Console.WriteLine("--------------------------");

        const string sampleInput = "Hello, World!";
        
        foreach (var processor in processors)
        {
            Console.WriteLine($"--- Running Processor: {processor.ProcessorName} ---");
            Console.WriteLine($"Input: {sampleInput}");
            string result = await processor.ProcessAsync(sampleInput);
            Console.WriteLine($"Output: {result}\n");
        }
    }

    private static void LoadAndRegisterPlugins(IServiceCollection services)
    {
        // Define the path to the plugins directory
        string pluginPath = Path.Combine(AppContext.BaseDirectory, "plugins");
        
        if (!Directory.Exists(pluginPath))
        {
            Console.WriteLine($"Plugin directory not found: {pluginPath}");
            // Create for demonstration
            Directory.CreateDirectory(pluginPath);
            Console.WriteLine("Created plugin directory. Copy your plugin DLLs there.");
            return;
        }

        Console.WriteLine($"Loading plugins from: {pluginPath}");

        // Load assemblies from the plugin directory
        foreach (var file in Directory.GetFiles(pluginPath, "*.dll"))
        {
            try
            {
                var assembly = Assembly.LoadFrom(file);
                
                // Find all types in the assembly that implement IProcessor
                var processorTypes = assembly.GetTypes()
                    .Where(t => typeof(IProcessor).IsAssignableFrom(t) && !t.IsInterface && !t.IsAbstract);

                foreach (var type in processorTypes)
                {
                    // Register each found type with the DI container
                    // We register it as a transient service that implements IProcessor
                    services.AddTransient(typeof(IProcessor), type);
                    Console.WriteLine($"  -> Registered plugin: {type.FullName}");
                }
            }
            catch (Exception ex)
            {
                Console.WriteLine($"Error loading plugin from {file}: {ex.Message}");
            }
        }
    }
}

To Run:

  1. Build all three projects.
  2. In the PluginHostApp's output directory (e.g., bin/Debug/net8.0), create a folder named plugins.
  3. Copy the TextPlugins.dll file into this plugins folder.
  4. Run PluginHostApp.exe. It will dynamically find, load, register, and execute the processors from the DLL.

Explanation:

  1. Shared Contract: The IProcessor interface in Plugin.Contracts is the crucial link. It ensures type safety and a common understanding between the host and the plugins.
  2. Dynamic Assembly Loading: Assembly.LoadFrom(file) loads a DLL into the application's context at runtime.
  3. Reflection: assembly.GetTypes() and the subsequent LINQ query inspect the loaded assembly's contents to find any class that implements the IProcessor interface.
  4. Convention-based DI Registration: Instead of explicitly writing services.AddTransient<IProcessor, ToUpperProcessor>(), we do it programmatically. This allows the host to remain completely ignorant of the concrete plugin types. The GetServices<IProcessor>() call then resolves all registered implementations.

Exercise 2: Implementing a Resilient HTTP Client with Polly

Goal: Build a robust API client that can handle transient network faults using policies for retries and circuit breakers.

  • Problem: You are integrating with an external API that is occasionally unreliable. Simple try-catch blocks are not enough; you need to automatically retry failed requests and stop calling the service for a short period if it fails repeatedly (a circuit breaker).

  • Key Concepts: IHttpClientFactory, Polly policies (Retry, CircuitBreaker), ASP.NET Core DI.


Solution (in an ASP.NET Core Web API project):

1. Install Polly Package:

dotnet add package Microsoft.Extensions.Http.Polly

2. Define a Typed HttpClient and its Interface:

public interface IUnreliableApiClient
{
    Task<string> GetDataAsync();
}

public class UnreliableApiClient : IUnreliableApiClient
{
    private readonly HttpClient _httpClient;

    public UnreliableApiClient(HttpClient httpClient)
    {
        _httpClient = httpClient;
        // The base address is often configured during DI setup
        _httpClient.BaseAddress = new Uri("http://httpstat.us/"); // A service for testing HTTP statuses
    }

    public async Task<string> GetDataAsync()
    {
        // We'll intentionally call an endpoint that sometimes fails
        var response = await _httpClient.GetStringAsync("503"); // 503 Service Unavailable
        return response;
    }
}

3. Configure Polly Policies in Program.cs:

using Polly;
using Polly.Extensions.Http;

var builder = WebApplication.CreateBuilder(args);

// --- Polly Policies ---

// 1. Retry Policy: Retry 3 times with an exponential backoff
var retryPolicy = HttpPolicyExtensions
    .HandleTransientHttpError() // Handles HttpRequestException, 5xx, and 408 statuses
    .OrResult(msg => msg.StatusCode == System.Net.HttpStatusCode.NotFound) // Also retry on 404
    .WaitAndRetryAsync(3, retryAttempt => 
        TimeSpan.FromSeconds(Math.Pow(2, retryAttempt)), // 2s, 4s, 8s
        onRetry: (outcome, timespan, retryAttempt, context) =>
        {
            Console.WriteLine($"[Retry] Retrying in {timespan.TotalSeconds}s... Attempt {retryAttempt}. " +
                              $"Reason: {outcome.Result?.StatusCode}");
        });

// 2. Circuit Breaker Policy: Break after 5 consecutive failures
var circuitBreakerPolicy = HttpPolicyExtensions
    .HandleTransientHttpError()
    .CircuitBreakerAsync(5, TimeSpan.FromSeconds(30),
        onBreak: (result, timespan) => Console.WriteLine($"[CircuitBreaker] Breaking for {timespan.TotalSeconds}s... Reason: {result.Result?.StatusCode}"),
        onReset: () => Console.WriteLine("[CircuitBreaker] Resetting."),
        onHalfOpen: () => Console.WriteLine("[CircuitBreaker] Half-open: next call is a trial."));

// --- DI Configuration ---
builder.Services.AddHttpClient<IUnreliableApiClient, UnreliableApiClient>()
    .AddPolicyHandler(retryPolicy)
    .AddPolicyHandler(circuitBreakerPolicy); // Policies are executed in order

// ... Add controllers, etc.
builder.Services.AddControllers();

var app = builder.Build();
app.MapControllers();
app.Run();

4. Create a Controller to Use the Client:

[ApiController]
[Route("[controller]")]
public class DemoController : ControllerBase
{
    private readonly IUnreliableApiClient _apiClient;

    public DemoController(IUnreliableApiClient apiClient)
    {
        _apiClient = apiClient;
    }

    [HttpGet("test-resilience")]
    public async Task<IActionResult> TestResilience()
    {
        try
        {
            var data = await _apiClient.GetDataAsync();
            return Ok(data);
        }
        catch (Exception ex)
        {
            // This will catch Polly's BrokenCircuitException or the final HttpRequestException
            return StatusCode(500, ex.Message);
        }
    }
}

Explanation:

  1. Polly Policies: Polly is a library for defining resilience policies. We define two:
    • Retry: WaitAndRetryAsync handles transient failures. The exponential backoff (Math.Pow(2, retryAttempt)) is a best practice to avoid overwhelming the failing service.
    • Circuit Breaker: CircuitBreakerAsync is a state machine. After 5 consecutive failures (handledEventsAllowedBeforeBreaking), it "breaks" and will immediately fail any subsequent calls for 30 seconds (durationOfBreak), without even making a network request. This protects our application from a service that is completely down. After 30s, it enters a "Half-Open" state, allowing one trial call to see if the service has recovered.
  2. IHttpClientFactory Integration: The magic happens with AddPolicyHandler(). This extension method wraps the HttpClient's message handler with our Polly policies. When _apiClient.GetDataAsync() is called, the request pipeline looks like this: Retry Policy -> Circuit Breaker Policy -> HttpClient Handler.
  3. Typed Clients: Defining IUnreliableApiClient and its implementation is a best practice. It makes the code cleaner, more testable (you can mock the interface), and allows IHttpClientFactory to manage the HttpClient's lifetime correctly.

Exercise 3: High-Performance Processing with System.IO.Pipelines

Goal: Understand and implement low-allocation, high-throughput I/O processing for a custom network protocol.

  • Problem: You need to write a TCP server that parses a simple length-prefixed message protocol. A message consists of a 4-byte integer (the length of the message body) followed by the message body itself (UTF-8 string). Using traditional byte[] buffers and streams can lead to high memory allocation and pressure on the Garbage Collector. Use System.IO.Pipelines to create a more efficient server.

  • Key Concepts: System.IO.Pipelines, Pipe, PipeReader, PipeWriter, ReadOnlySequence<byte>, Span<T>.


Solution:

1. The TCP Server using Pipelines (Program.cs)

using System.Buffers;
using System.IO.Pipelines;
using System.Net;
using System.Net.Sockets;
using System.Text;

public class Program
{
    public static async Task Main(string[] args)
    {
        var listenSocket = new Socket(SocketType.Stream, ProtocolType.Tcp);
        listenSocket.Bind(new IPEndPoint(IPAddress.Loopback, 8087));
        listenSocket.Listen(120);

        Console.WriteLine("Server listening on port 8087...");

        while (true)
        {
            var socket = await listenSocket.AcceptAsync();
            _ = ProcessLinesAsync(socket); // Fire-and-forget processing for each client
        }
    }

    private static async Task ProcessLinesAsync(Socket socket)
    {
        Console.WriteLine($"[+] Client connected: {socket.RemoteEndPoint}");
        var pipe = new Pipe();

        // Start two concurrent tasks: one filling the pipe, one reading from it.
        Task writing = FillPipeAsync(socket, pipe.Writer);
        Task reading = ReadPipeAsync(pipe.Reader);
        
        await Task.WhenAll(reading, writing);
        
        Console.WriteLine($"[-] Client disconnected: {socket.RemoteEndPoint}");
    }

    private static async Task FillPipeAsync(Socket socket, PipeWriter writer)
    {
        const int minimumBufferSize = 512;
        while (true)
        {
            try
            {
                // Request a memory block from the PipeWriter
                Memory<byte> memory = writer.GetMemory(minimumBufferSize);
                int bytesRead = await socket.ReceiveAsync(memory, SocketFlags.None);
                if (bytesRead == 0) break; // Connection closed
                
                // Tell the PipeWriter how much data was actually written
                writer.Advance(bytesRead);

                // Make the data available to the PipeReader and check for backpressure
                FlushResult result = await writer.FlushAsync();
                if (result.IsCompleted) break;
            }
            catch (Exception ex)
            {
                Console.WriteLine($"Error filling pipe: {ex.Message}");
                break;
            }
        }
        await writer.CompleteAsync();
    }

    private static async Task ReadPipeAsync(PipeReader reader)
    {
        while (true)
        {
            ReadResult result = await reader.ReadAsync();
            ReadOnlySequence<byte> buffer = result.Buffer;

            // Process all complete messages in the buffer
            while (TryReadMessage(ref buffer, out string? message))
            {
                Console.WriteLine($"  -> Received Message: {message}");
            }

            // Tell the pipe how much of the buffer we have consumed
            reader.AdvanceTo(buffer.Start, buffer.End);
            
            if (result.IsCompleted) break;
        }
        await reader.CompleteAsync();
    }
    
    // This is the core protocol parsing logic
    private static bool TryReadMessage(ref ReadOnlySequence<byte> buffer, out string? message)
    {
        message = null;
        if (buffer.Length < 4) return false; // Not enough data for the length prefix

        // Read the 4-byte length prefix without slicing or copying if possible
        var lengthSpan = buffer.Slice(0, 4);
        int messageLength = IPAddress.NetworkToHostOrder(BitConverter.ToInt32(lengthSpan));
        
        // Check if the full message body is in the buffer yet
        if (buffer.Length < 4 + messageLength) return false;

        // Slice the complete message from the buffer
        var messageBuffer = buffer.Slice(4, messageLength);
        message = Encoding.UTF8.GetString(messageBuffer);
        
        // Advance the buffer past the message we just processed
        buffer = buffer.Slice(messageBuffer.End);
        return true;
    }
}

2. A Simple TCP Client to Test the Server (Client.cs in another project)

using System.Net;
using System.Net.Sockets;
using System.Text;

var client = new Socket(SocketType.Stream, ProtocolType.Tcp);
await client.ConnectAsync(IPAddress.Loopback, 8087);
Console.WriteLine("Connected to server.");

await SendMessage("Hello");
await Task.Delay(500);
await SendMessage("This is a longer message from the client.");
await Task.Delay(500);
await SendMessage("Goodbye");

client.Shutdown(SocketShutdown.Both);

async Task SendMessage(string text)
{
    byte[] body = Encoding.UTF8.GetBytes(text);
    // Convert length to network byte order (big-endian)
    byte[] lengthPrefix = BitConverter.GetBytes(IPAddress.HostToNetworkOrder(body.Length));
    
    await client.SendAsync(lengthPrefix, SocketFlags.None);
    await client.SendAsync(body, SocketFlags.None);
    Console.WriteLine($"Sent: {text}");
}

Explanation:

  1. Decoupling with a Pipe: The Pipe object acts as a high-performance, in-memory buffer that decouples the network I/O (FillPipeAsync) from the protocol parsing (ReadPipeAsync). This is a key pattern. One task can be reading from the network while another is simultaneously parsing data that has already been received.
  2. Memory Management: Instead of new byte[size], we use writer.GetMemory(). The Pipe manages a pool of memory blocks, significantly reducing GC pressure. We "rent" a buffer and return it when we're done.
  3. Backpressure: writer.FlushAsync() returns a FlushResult. If the pipe's internal buffer is full (because the reader is slow), this call will asynchronously wait. This built-in backpressure mechanism prevents an application from being overwhelmed by a fast sender.
  4. ReadOnlySequence<byte>: The PipeReader gives us a ReadOnlySequence<byte>, which represents a sequence of memory blocks. This is crucial because a single logical message from the network might span multiple underlying memory buffers. Our TryReadMessage logic can handle this composite buffer without needing to copy it into a single contiguous array.
  5. Zero-Copy Slicing: buffer.Slice() is a very cheap operation that creates a view over the existing memory without allocating or copying new data. This is fundamental to the performance of pipelines.

what is prev in React ?


Of course! This is an excellent and fundamental question in React.

In React, prev is a conventional name for a variable that holds the previous state when you are updating a component's state. It is used in the "functional update" form of a state setter function (like the one returned by the useState hook).

Let's break it down.

Two Ways to Update State with useState

When you declare state with useState, you get back an array with two elements: the current state value and a function to update it.

const [count, setCount] = useState(0);

You can call setCount in two ways:

  1. Passing a new value directly:

    setCount(5);       // Sets the count to 5
    setCount(count + 1); // Sets the count to the current value of 'count' + 1
  2. Passing a function (the "functional update" form): This is where prev comes in.

    setCount(prevCount => prevCount + 1);
    • prevCount (you can name it anything, but prev or prevState is the convention) is a parameter provided by React itself.
    • React guarantees that the value of this parameter will be the most up-to-date state value at the moment the update is applied.
    • The function should return the new state value.

Why is prev Necessary? The Stale State Problem

You might wonder, "Why not just use setCount(count + 1) all the time?"

The reason is that React state updates can be asynchronous and batched. React may group multiple setState calls into a single re-render for performance. This can lead to a problem called "stale state."

A Classic Example: The "Wrong" Way

Imagine you have a button that should increment a counter three times on a single click. A beginner might write this:

import React, { useState } from 'react';

function Counter() {
  const [count, setCount] = useState(0);

  const handleTripleIncrement = () => {
    // ❌ This will NOT work as expected
    setCount(count + 1);
    setCount(count + 1);
    setCount(count + 1);
  };

  return (
    <div>
      <p>Count: {count}</p>
      <button onClick={handleTripleIncrement}>Increment by 3</button>
    </div>
  );
}

If you click this button when the count is 0, the count will only become 1, not 3.

Why it fails: The handleTripleIncrement function "closes over" the value of count from the render it was created in. When you click the button, count is 0. All three setCount(count + 1) calls are essentially setCount(0 + 1). React batches these updates and sees three requests to set the state to 1. The final result is just 1.

The "Correct" Way with prev

Now, let's fix it using the functional update form:

import React, { useState } from 'react';

function Counter() {
  const [count, setCount] = useState(0);

  const handleTripleIncrement = () => {
    // ✅ This works perfectly!
    setCount(prevCount => prevCount + 1);
    setCount(prevCount => prevCount + 1);
    setCount(prevCount => prevCount + 1);
  };

  return (
    <div>
      <p>Count: {count}</p>
      <button onClick={handleTripleIncrement}>Increment by 3</button>
    </div>
  );
}

Why it works: When you pass a function to setCount, React queues these functions. When it processes the queue, it executes them in order, ensuring the return value of one update becomes the prevCount for the next one.

  1. The first call receives 0 as prevCount and returns 1.
  2. The second call receives the new state 1 as prevCount and returns 2.
  3. The third call receives the new state 2 as prevCount and returns 3.

The final result is 3, as expected.


Best Practice and Rule of Thumb

If your new state depends on the previous state, always use the functional update form.

Other Examples:

  • Toggling a boolean:

    // Good: Always works, regardless of batching.
    setIsVisible(prevIsVisible => !prevIsVisible);
    
    // Bad: Can be unreliable if multiple toggles are called in the same event.
    setIsVisible(!isVisible);
  • Adding an item to an array:

    // Good: Guarantees you are adding to the most recent version of the array.
    setItems(prevItems => [...prevItems, newItem]);
    
    // Bad: `items` might be stale if another update was queued.
    setItems([...items, newItem]);

In summary, prev is your tool to safely and reliably update state when the new state is calculated from the old state, protecting you from issues caused by React's asynchronous and batched nature.


create coding exercises in Python with solutions


Of course! Here is a set of Python coding exercises with solutions, structured by difficulty level. Each exercise includes the problem, the core concepts it covers, a complete solution, and a detailed explanation.


Level 1: Beginner Exercises

These exercises cover the fundamentals: variables, control flow, functions, and basic data structures.

Exercise 1: Palindrome Checker

  • Goal: Understand string manipulation and conditional logic.
  • Task: Create a function that takes a string and returns True if the string is a palindrome and False if it is not. A palindrome is a word that reads the same forwards and backwards (e.g., "racecar", "madam"). The check should be case-insensitive and should ignore spaces and punctuation.
  • Concepts to Use: Functions, String methods (.lower(), .isalnum()), String Slicing.

Solution:

import string

def is_palindrome(s):
    """
    Checks if a string is a palindrome, ignoring case, spaces, and punctuation.
    """
    # 1. Clean the string: convert to lowercase and remove non-alphanumeric characters.
    # A list comprehension is used here for a concise way to filter characters.
    cleaned_s = "".join(char.lower() for char in s if char.isalnum())
    
    # 2. Check if the cleaned string is equal to its reverse.
    # s[::-1] is a Python slice that reverses a string.
    return cleaned_s == cleaned_s[::-1]

# --- Example Usage ---
print(f"'Racecar' is a palindrome: {is_palindrome('Racecar')}")
print(f"'hello' is a palindrome: {is_palindrome('hello')}")
print(f"'A man, a plan, a canal: Panama' is a palindrome: {is_palindrome('A man, a plan, a canal: Panama')}")
# Expected Output:
# 'Racecar' is a palindrome: True
# 'hello' is a palindrome: False
# 'A man, a plan, a canal: Panama' is a palindrome: True

Explanation:

  1. Cleaning the String: The most important part is to prepare the string for comparison. We create a new string cleaned_s that contains only the letters and numbers from the original string, all in lowercase.
    • char.lower(): Converts each character to lowercase.
    • char.isalnum(): Returns True only if the character is a letter (a-z) or a number (0-9).
    • "".join(...): Joins the characters that pass the isalnum() filter back into a single string.
  2. Reversing and Comparing: Python's string slicing makes reversing incredibly easy. cleaned_s[::-1] creates a reversed copy of the string. The function then simply returns the result of comparing the cleaned string with its reversed version.

Exercise 2: Find the Largest Number

  • Goal: Understand loops and conditional statements with lists.
  • Task: Create a function that takes a list of numbers and returns the largest number in the list. Do not use the built-in max() function.
  • Concepts to Use: Functions, for loops, if statements.

Solution:

def find_largest(numbers):
    """
    Finds the largest number in a list of numbers without using the max() function.
    """
    # 1. Handle the edge case of an empty list.
    if not numbers:
        return None  # Or raise an error, e.g., raise ValueError("Input list cannot be empty")

    # 2. Initialize the largest number found so far to be the first element.
    largest_so_far = numbers[0]

    # 3. Loop through the rest of the numbers in the list.
    for number in numbers[1:]:
        # 4. If the current number is greater, update our variable.
        if number > largest_so_far:
            largest_so_far = number
            
    return largest_so_far

# --- Example Usage ---
my_list = [5, 2, 9, 1, 7, 4]
empty_list = []
print(f"The largest number in {my_list} is: {find_largest(my_list)}")
print(f"Result for an empty list: {find_largest(empty_list)}")
# Expected Output:
# The largest number in [5, 2, 9, 1, 7, 4] is: 9
# Result for an empty list: None

Explanation:

  1. Edge Case: It's good practice to first check if the list is empty (if not numbers:). If it is, we can't find a largest number, so we return None.
  2. Initialization: We assume the first number in the list is the largest one to start with and store it in largest_so_far.
  3. Iteration: We then loop through every other number in the list (starting from the second element using numbers[1:]).
  4. Comparison: Inside the loop, we compare the number we are currently looking at with our largest_so_far. If the current number is bigger, we've found a new "largest," so we update the value of largest_so_far. After the loop has finished, largest_so_far will hold the overall largest value.

Level 2: Intermediate Exercises

These exercises introduce more complex data structures, file I/O, and basic object-oriented programming.

Exercise 3: Word Count from a File

  • Goal: Work with files, dictionaries, and string manipulation.
  • Task: Write a function that reads a text file and returns a dictionary where the keys are the words in the file and the values are the number of times each word appeared. The word count should be case-insensitive.
  • Concepts to Use: Dictionaries, File I/O (with open(...)), String methods (.split()).

Setup: First, create a text file named sample.txt in the same directory as your Python script with the following content:

Hello world
This is a sample file
Hello again world

Solution:

import string

def count_words(filepath):
    """
    Counts the frequency of each word in a text file.
    """
    word_counts = {}
    try:
        # 1. Use 'with' to automatically handle closing the file.
        with open(filepath, 'r') as file:
            for line in file:
                # 2. Clean each line: remove punctuation and convert to lowercase.
                # str.maketrans creates a translation table to remove punctuation.
                translator = str.maketrans('', '', string.punctuation)
                cleaned_line = line.translate(translator).lower()
                
                # 3. Split the line into words.
                words = cleaned_line.split()
                
                # 4. Count each word.
                for word in words:
                    # Use .get(word, 0) to handle the first time a word is seen.
                    word_counts[word] = word_counts.get(word, 0) + 1
    except FileNotFoundError:
        return "Error: The file was not found."
    
    return word_counts

# --- Example Usage ---
word_frequencies = count_words('sample.txt')
print(word_frequencies)
# Expected Output:
# {'hello': 2, 'world': 2, 'this': 1, 'is': 1, 'a': 1, 'sample': 1, 'file': 1, 'again': 1}

Explanation:

  1. File Handling: The with open(filepath, 'r') as file: syntax is the standard way to open files in Python. It ensures the file is automatically closed even if errors occur.
  2. Cleaning: Before splitting, each line is cleaned. string.punctuation provides a string of common punctuation marks. str.maketrans and line.translate() are an efficient way to remove all these characters at once. We also convert the line to lowercase.
  3. Splitting: line.split() splits a string into a list of words, using whitespace as the delimiter by default.
  4. Counting with a Dictionary: We iterate through the words. For each word, we update its count in the word_counts dictionary. The line word_counts[word] = word_counts.get(word, 0) + 1 is a very common and useful pattern:
    • word_counts.get(word, 0) tries to get the current count of the word. If the word is not yet in the dictionary (i.e., we're seeing it for the first time), it returns the default value of 0.
    • We then add 1 to this value and update the dictionary.

Exercise 4: Contact Book (Object-Oriented Programming)

  • Goal: Understand basic Object-Oriented Programming (OOP) by creating classes and objects.
  • Task: Create a Contact class and a ContactBook class.
    • Contact: Should have attributes for name and phone_number.
    • ContactBook: Should manage a list of Contact objects. It needs methods to add_contact, remove_contact, and find_contact by name.
  • Concepts to Use: Classes, Objects, Methods, __init__, Instance attributes.

Solution:

class Contact:
    """A single contact with a name and phone number."""
    def __init__(self, name, phone_number):
        self.name = name
        self.phone_number = phone_number

    def __str__(self):
        # Provides a user-friendly string representation of the object.
        return f"Contact: {self.name}, Phone: {self.phone_number}"

class ContactBook:
    """Manages a collection of Contact objects."""
    def __init__(self):
        # The list of contacts is initialized as an empty list.
        self.contacts = []

    def add_contact(self, contact):
        """Adds a Contact object to the book."""
        self.contacts.append(contact)
        print(f"Added contact: {contact.name}")

    def remove_contact(self, name):
        """Removes a contact by name."""
        contact_to_remove = self.find_contact(name)
        if contact_to_remove:
            self.contacts.remove(contact_to_remove)
            print(f"Removed contact: {name}")
        else:
            print(f"Contact not found: {name}")

    def find_contact(self, name):
        """Finds and returns a contact by name."""
        for contact in self.contacts:
            if contact.name.lower() == name.lower():
                return contact
        return None

    def display_all(self):
        """Displays all contacts in the book."""
        if not self.contacts:
            print("Contact book is empty.")
        else:
            print("--- All Contacts ---")
            for contact in self.contacts:
                print(contact)

# --- Example Usage ---
book = ContactBook()

# Create contact objects
contact1 = Contact("Alice", "123-456-7890")
contact2 = Contact("Bob", "987-654-3210")

# Use the ContactBook methods
book.add_contact(contact1)
book.add_contact(contact2)
book.display_all()

print("\nFinding Alice...")
found = book.find_contact("Alice")
if found:
    print(f"Found: {found}")

print("\nRemoving Bob...")
book.remove_contact("Bob")
book.display_all()

Explanation:

  1. Contact Class: This is a simple data class. The __init__ method is the constructor, which runs when you create a new object (e.g., Contact("Alice", ...)). self refers to the instance of the object being created.
  2. ContactBook Class: This class holds the business logic. Its __init__ method creates an empty list self.contacts to store the Contact objects.
  3. Methods:
    • add_contact simply appends a new Contact object to the self.contacts list.
    • find_contact iterates through the list and returns the entire Contact object if the name matches.
    • remove_contact first uses find_contact to locate the object and then uses the list's built-in .remove() method to delete it.

Level 3: Advanced Exercises

These exercises cover more complex topics like decorators, generators, and concurrency.

Exercise 5: Caching Decorator

  • Goal: Understand decorators and memoization for performance optimization.
  • Task: Create a decorator called @cache_result that caches the return value of a function. When the function is called with the same arguments again, the decorator should return the cached value instead of re-executing the function. This is a technique called memoization.
  • Concepts to Use: Decorators, Closures, Dictionaries for caching, *args and **kwargs.

Solution:

import time
import functools

def cache_result(func):
    """A decorator to cache the results of a function call."""
    cache = {}  # The cache is stored in a closure.

    @functools.wraps(func)  # Preserves the original function's metadata
    def wrapper(*args, **kwargs):
        # Create a key for the cache based on the function's arguments.
        # We convert kwargs to a frozenset of items to make it hashable.
        key = (args, frozenset(kwargs.items()))

        if key not in cache:
            print(f"Cache miss for key: {key}. Executing function...")
            # If the result is not in the cache, call the original function.
            cache[key] = func(*args, **kwargs)
        else:
            print(f"Cache hit for key: {key}. Returning cached result.")
        
        return cache[key]
    
    return wrapper

@cache_result
def slow_fetch_data(url, params=None):
    """A slow function that simulates a network request."""
    print(f"Fetching data from {url} with params {params}...")
    time.sleep(2)  # Simulate a 2-second delay
    return f"Data from {url}"

# --- Example Usage ---
print("First call:")
data1 = slow_fetch_data("https://api.example.com/data")
print(f"Received: {data1}\n")

print("Second call (should be fast):")
data2 = slow_fetch_data("https://api.example.com/data")
print(f"Received: {data2}\n")

print("Third call with different args (should be slow):")
data3 = slow_fetch_data("https://api.example.com/other_data")
print(f"Received: {data3}\n")

Explanation:

  1. Decorator Structure: A decorator is a function (cache_result) that takes another function (func) as an argument and returns a new function (wrapper).
  2. Closure: The wrapper function has access to the cache dictionary even after the cache_result function has finished executing. This is a closure, and it's what allows the cache to persist between function calls.
  3. @functools.wraps(func): This is a helper decorator that copies the metadata (like the function name __name__ and docstring __doc__) from the original function (func) to the wrapper function. It's a best practice to use it.
  4. Handling Arguments: The wrapper accepts *args (for positional arguments) and **kwargs (for keyword arguments) so it can decorate any function, regardless of its signature.
  5. Cache Key: To store results, we need a unique key for each combination of arguments. A tuple (args, frozenset(kwargs.items())) is used because tuples and frozensets are hashable, meaning they can be used as dictionary keys.
  6. Logic: Inside the wrapper, we first check if the key is in our cache. If it is, we immediately return the cached value. If not, we execute the original func, store its result in the cache, and then return it.

create Python coding exercises for experienced developer with solutions


Of course. Here is a set of Python coding exercises designed for experienced developers. These problems focus on advanced language features, design patterns, concurrency, and performance optimization.


Exercise 1: Asynchronous Web Scraper with Rate Limiting

Goal: Master asynchronous programming with asyncio, control concurrency, and handle API rate limits gracefully.

  • Problem: You need to scrape data from a list of URLs from an API that has a rate limit (e.g., no more than 10 requests per second). The scraping should be done concurrently to be efficient, but without violating the rate limit. Your scraper should be able to handle potential HTTP errors for individual requests without crashing the entire process.

  • Key Concepts: asyncio, aiohttp for asynchronous HTTP requests, asyncio.Semaphore for concurrency control, asyncio.gather for running tasks concurrently.


Solution:

Setup: You'll need to install the aiohttp library.

pip install aiohttp

async_scraper.py

import asyncio
import aiohttp
import time

async def fetch_url(session, url):
    """Asynchronously fetches a single URL and returns its text content."""
    try:
        async with session.get(url, timeout=10) as response:
            # Raise an exception for bad status codes (4xx or 5xx)
            response.raise_for_status()
            print(f"Successfully fetched {url}")
            return await response.text()
    except asyncio.TimeoutError:
        print(f"Timeout error when fetching {url}")
    except aiohttp.ClientError as e:
        print(f"Client error for {url}: {e}")
    return None

async def rate_limited_scraper(urls, max_concurrent_requests, requests_per_second):
    """
    Scrapes a list of URLs with rate limiting and concurrency control.
    """
    # Semaphore limits the number of concurrent requests.
    semaphore = asyncio.Semaphore(max_concurrent_requests)
    
    # Calculate the delay needed to respect the rate limit.
    delay_between_requests = 1.0 / requests_per_second
    
    tasks = []
    results = {}
    
    async with aiohttp.ClientSession() as session:
        for url in urls:
            # Wait for the semaphore to allow a new request.
            await semaphore.acquire()
            
            # Create the task to fetch the URL.
            task = asyncio.create_task(fetch_url(session, url))
            
            # Add a callback to the task to release the semaphore when it's done.
            task.add_done_callback(lambda t: semaphore.release())
            
            tasks.append((url, task))
            
            # Wait for the calculated delay before dispatching the next request.
            await asyncio.sleep(delay_between_requests)

        # Wait for all dispatched tasks to complete and gather results.
        for url, task in tasks:
            content = await task
            if content:
                results[url] = len(content)
                
    return results

async def main():
    # Use a mock API for demonstration
    urls_to_scrape = [f"https://httpbin.org/get?id={i}" for i in range(20)]
    
    start_time = time.time()
    
    # Configuration: 5 concurrent workers, but only 10 requests per second overall.
    scraped_data = await rate_limited_scraper(urls_to_scrape, 
                                              max_concurrent_requests=5, 
                                              requests_per_second=10)
    
    end_time = time.time()
    
    print("\n--- Scraping Complete ---")
    print(f"Processed {len(scraped_data)} URLs in {end_time - start_time:.2f} seconds.")
    # for url, length in scraped_data.items():
    #     print(f"{url}: Content length = {length}")

if __name__ == "__main__":
    asyncio.run(main())

Explanation:

  1. aiohttp.ClientSession: This is the standard way to make multiple HTTP requests with aiohttp. It manages connection pooling, making it much more efficient than creating a new connection for each request.
  2. asyncio.Semaphore: The semaphore is initialized with max_concurrent_requests. The line await semaphore.acquire() acts as a gatekeeper. If the semaphore's internal counter is greater than zero, it decrements the counter and proceeds. If the counter is zero, it waits until another coroutine calls semaphore.release(). This effectively limits how many fetch_url coroutines can be "in-flight" at any given time.
  3. Rate Limiting with asyncio.sleep: The line await asyncio.sleep(delay_between_requests) is crucial for rate limiting. It ensures that we don't start new tasks faster than the requests_per_second limit allows, regardless of how many workers are available in the semaphore.
  4. Decoupled Release: The task.add_done_callback(lambda t: semaphore.release()) is an elegant way to release the semaphore. It ensures that the slot is freed up as soon as a task finishes (whether successfully or with an error), allowing another waiting task to proceed. This is more efficient than waiting for a batch of tasks to finish before releasing their semaphore slots.
  5. Error Handling: The try...except block within fetch_url handles errors on a per-request basis. This resilience means that one failed URL won't stop the entire scraping process.

Exercise 2: Implementing a Custom Context Manager for Database Transactions

Goal: Deepen understanding of context managers (with statements) and error handling by creating a reusable utility for database transactions.

  • Problem: When working with databases (like SQLite, PostgreSQL), you often need to perform a series of operations within a single transaction. If any operation fails, the entire transaction should be rolled back. If all succeed, it should be committed. A context manager is the perfect Pythonic way to handle this setup and teardown logic.

  • Key Concepts: Context Managers (__enter__, __exit__), Database APIs (e.g., sqlite3), Exception Handling.


Solution:

import sqlite3
import os

class DatabaseTransaction:
    """
    A context manager to handle SQLite database transactions automatically.
    - Commits on successful exit of the 'with' block.
    - Rolls back on any exception within the 'with' block.
    """
    def __init__(self, db_path):
        self.db_path = db_path
        self.connection = None
        self.cursor = None

    def __enter__(self):
        """Called when entering the 'with' block."""
        self.connection = sqlite3.connect(self.db_path)
        # Setting isolation_level to None enables autocommit mode,
        # but we will manually control transactions with BEGIN/COMMIT/ROLLBACK.
        self.connection.isolation_level = None 
        self.cursor = self.connection.cursor()
        
        print("-> Entering context: Beginning transaction...")
        self.cursor.execute("BEGIN TRANSACTION")
        
        return self.cursor

    def __exit__(self, exc_type, exc_val, exc_tb):
        """Called when exiting the 'with' block."""
        if exc_type is None:
            # No exception occurred, so commit the transaction.
            print("<- Exiting context: Committing transaction...")
            self.connection.commit()
        else:
            # An exception occurred, so roll back the transaction.
            print(f"<- Exiting context: Exception occurred. Rolling back transaction...")
            self.connection.rollback()
        
        self.connection.close()
        # Returning False (or None) will re-raise the exception if one occurred.
        # Returning True would suppress the exception.
        return False

# --- Example Usage ---

DB_FILE = "inventory.db"
# Clean up previous runs
if os.path.exists(DB_FILE):
    os.remove(DB_FILE)

# Setup initial database state
with sqlite3.connect(DB_FILE) as conn:
    conn.execute("CREATE TABLE products (id INTEGER PRIMARY KEY, name TEXT, stock INTEGER)")
    conn.execute("INSERT INTO products (name, stock) VALUES ('Laptop', 10)")
    conn.execute("INSERT INTO products (name, stock) VALUES ('Mouse', 50)")

def process_order(product_name, quantity):
    """Processes an order within a transaction."""
    print(f"\nProcessing order for {quantity} of {product_name}...")
    try:
        with DatabaseTransaction(DB_FILE) as cursor:
            # 1. Check current stock
            cursor.execute("SELECT stock FROM products WHERE name = ?", (product_name,))
            stock = cursor.fetchone()[0]
            
            if stock < quantity:
                # This will raise an exception, triggering the rollback in __exit__
                raise ValueError("Insufficient stock!")
                
            # 2. Update stock
            new_stock = stock - quantity
            cursor.execute("UPDATE products SET stock = ? WHERE name = ?", (new_stock, product_name))
            
            print("Order processed successfully inside 'with' block.")
            
    except ValueError as e:
        print(f"Order failed: {e}")

# --- Test Cases ---

# 1. Successful transaction
process_order('Laptop', 3)

# 2. Failed transaction (should rollback)
process_order('Mouse', 100)

# 3. Verify final state of the database
with sqlite3.connect(DB_FILE) as conn:
    print("\n--- Final Database State ---")
    for row in conn.execute("SELECT * FROM products"):
        print(row)
# Expected Output: Laptop stock should be 7, Mouse stock should remain 50.

Explanation:

  1. __enter__ Method: This method is executed when the with statement is entered. It is responsible for setting up the context. Here, it establishes the database connection, gets a cursor, and explicitly starts a transaction with BEGIN TRANSACTION. It must return the object that will be assigned to the variable after as (in this case, the cursor).
  2. __exit__ Method: This method is executed when the block is exited, either normally or due to an exception. It receives three arguments: exc_type, exc_val, and exc_tb.
    • If exc_type is None, it means the block completed without any errors, so we call self.connection.commit().
    • If exc_type is not None, an exception occurred. We call self.connection.rollback() to undo all changes made within the transaction.
    • The method then cleans up by closing the connection.
  3. Resource Management and Atomicity: This pattern provides perfect encapsulation. The code inside the with block doesn't need to know about committing or rolling back; it just performs its database operations. The context manager guarantees that the transaction is handled correctly and that the database connection is always closed, making the code much cleaner and less error-prone.

Exercise 3: Implementing a Metaclass for Plugin Registration

Goal: Explore Python's powerful metaprogramming capabilities by creating a metaclass that automatically registers classes into a central registry.

  • Problem: You are designing a system (e.g., a web framework, a game engine) that uses plugins. You want any class that inherits from a specific BasePlugin to be automatically registered in a global dictionary without requiring any explicit registration call or decorator.

  • Key Concepts: Metaclasses, type(), __new__ method of a metaclass, Class creation process.


Solution:

# The registry where our plugins will be stored.
PLUGIN_REGISTRY = {}

class PluginMeta(type):
    """
    A metaclass that automatically registers all subclasses of BasePlugin.
    """
    def __new__(cls, name, bases, attrs):
        # 1. Create the new class object using the 'type' metaclass's __new__ method.
        new_class = super().__new__(cls, name, bases, attrs)
        
        # 2. Perform the registration logic.
        # We don't want to register the base class itself, only its subclasses.
        if name != "BasePlugin":
            plugin_name = attrs.get('plugin_name')
            if not plugin_name:
                raise TypeError(f"Plugin {name} must define a 'plugin_name' class attribute.")
            
            if plugin_name in PLUGIN_REGISTRY:
                raise ValueError(f"Duplicate plugin name found: {plugin_name}")

            print(f"--> Registering plugin '{plugin_name}' for class {name}")
            PLUGIN_REGISTRY[plugin_name] = new_class
            
        return new_class

class BasePlugin(metaclass=PluginMeta):
    """The base class for all plugins. It uses our custom metaclass."""
    plugin_name = None # Subclasses must override this.
    
    def execute(self):
        raise NotImplementedError

# --- Define some plugins. The registration happens automatically at class definition time. ---

class DataExportPlugin(BasePlugin):
    plugin_name = "export_csv"
    
    def execute(self):
        print("Executing CSV data export...")

class ImageProcessingPlugin(BasePlugin):
    plugin_name = "resize_image"
    
    def execute(self):
        print("Executing image resizing...")

class InvalidPlugin(BasePlugin):
    # This will be registered, but has no specific logic.
    plugin_name = "invalid"


# --- Example Usage: A function that uses the registry ---

def run_plugin(name):
    """Finds a plugin in the registry and runs it."""
    print(f"\nAttempting to run plugin: '{name}'")
    plugin_class = PLUGIN_REGISTRY.get(name)
    
    if not plugin_class:
        print("Plugin not found.")
        return
        
    # Create an instance of the found plugin class and execute it.
    plugin_instance = plugin_class()
    plugin_instance.execute()


# Run the plugins using the registry
run_plugin("export_csv")
run_plugin("resize_image")
run_plugin("non_existent_plugin")

# You can inspect the registry directly
print("\n--- Current Plugin Registry ---")
print(PLUGIN_REGISTRY)

Explanation:

  1. What is a Metaclass? In Python, classes are themselves objects. A metaclass is the "class of a class." It defines how a class is created. The default metaclass is type.
  2. PluginMeta: We define our own metaclass. The __new__ method of a metaclass is the key. It is called before the class object is actually created and returned. It receives the name of the class being created (name), its base classes (bases), and its attributes/methods (attrs).
  3. The Logic in __new__:
    • super().__new__(...): We first call the parent metaclass's (type's) __new__ method to let it do the actual work of creating the class object.
    • Registration: After the class object (new_class) is created, we can inspect it and perform our custom logic. We check that it's not the BasePlugin itself, get its required plugin_name attribute from the attrs dictionary, and add the class object to our global PLUGIN_REGISTRY.
  4. Connecting the Metaclass: The line class BasePlugin(metaclass=PluginMeta): tells Python to use our PluginMeta to construct the BasePlugin class and any class that inherits from it.
  5. Automatic Registration: When the Python interpreter reads the definitions for DataExportPlugin and ImageProcessingPlugin, it sees that their parent uses PluginMeta. It therefore calls PluginMeta.__new__ to create them, which triggers our registration logic. This happens automatically, without needing decorators or any explicit function calls.

create code examples of CRUD operations for SUPABASE in React


Of course! Here is a comprehensive guide with code examples for performing CRUD (Create, Read, Update, Delete) operations in a React application using Supabase.

This guide will walk you through:

  1. Project Setup: Setting up Supabase and a new React project.
  2. Connecting to Supabase: Creating a client to communicate with your database.
  3. CRUD Operations: Building a simple "Todos" application to demonstrate each operation.
  4. Bonus: Implementing real-time updates with Supabase Subscriptions.

Step 1: Supabase Project Setup

  1. Create a Supabase Project:

    • Go to supabase.com and sign in.
    • Click "New project" and give it a name and a strong database password.
    • Wait for your new project to be provisioned.
  2. Create a todos Table:

    • In your project's dashboard, go to the SQL Editor in the left sidebar.
    • Click "+ New query".
    • Paste and run the following SQL to create a todos table:
    create table todos (
      id bigint generated by default as identity primary key,
      created_at timestamp with time zone default now(),
      task text not null,
      is_complete boolean default false
    );
    
    -- For this simple example, we'll disable Row Level Security (RLS).
    -- In a real-world app, you should learn about and enable RLS.
    alter table todos enable row level security;
    
    create policy "Public users can view all todos" on todos
      for select using (true);
    
    create policy "Users can insert their own todos" on todos
      for insert with check (true);
    
    create policy "Users can update their own todos" on todos
      for update using (true);
    
    create policy "Users can delete their own todos" on todos
      for delete using (true);

    This updated script now includes basic RLS policies that allow any public user to perform CRUD operations, which is fine for a simple demo. In a real app, you would restrict these policies based on authenticated user IDs (auth.uid()).

  3. Get API Keys:

    • Go to Project Settings (the gear icon).
    • Click on the API tab.
    • You will need your Project URL and the anon public key. Keep this page open.

Step 2: React Project Setup

  1. Create a new React App (using Vite for speed):

    npm create vite@latest my-supabase-app -- --template react
    cd my-supabase-app
  2. Install the Supabase client library:

    npm install @supabase/supabase-js
  3. Set up Environment Variables:

    • Create a new file named .env in the root of your project.
    • Add your Supabase URL and anon key to this file. Important: Vite requires environment variables to be prefixed with VITE_.
    VITE_SUPABASE_URL=YOUR_SUPABASE_PROJECT_URL
    VITE_SUPABASE_ANON_KEY=YOUR_SUPABASE_ANON_KEY

Step 3: Connecting React to Supabase

It's best practice to create a single, shared Supabase client instance for your entire application.

  1. Create a new file: src/supabaseClient.js
  2. Add the following code to initialize the client:
// src/supabaseClient.js
import { createClient } from '@supabase/supabase-js'

const supabaseUrl = import.meta.env.VITE_SUPABASE_URL
const supabaseAnonKey = import.meta.env.VITE_SUPABASE_ANON_KEY

export const supabase = createClient(supabaseUrl, supabaseAnonKey)

Now you can import the supabase object anywhere in your app to interact with your database.


Step 4: The CRUD Component

Let's create a single component to handle all CRUD operations for our todos.

Create a new file: src/Todos.jsx

// src/Todos.jsx
import { useState, useEffect } from 'react';
import { supabase } from './supabaseClient';

function Todos() {
    const [todos, setTodos] = useState([]);
    const [newTask, setNewTask] = useState('');
    const [editingId, setEditingId] = useState(null);
    const [editingText, setEditingText] = useState('');

    useEffect(() => {
        // This function will be defined below
        getTodos();
    }, []);

    // READ: Fetch all todos from the database
    const getTodos = async () => {
        const { data, error } = await supabase
            .from('todos')
            .select('*')
            .order('created_at', { ascending: true });

        if (error) {
            console.error('Error fetching todos:', error);
        } else {
            setTodos(data);
        }
    };

    // CREATE: Add a new todo to the database
    const addTodo = async (e) => {
        e.preventDefault();
        if (!newTask.trim()) return;

        const { data, error } = await supabase
            .from('todos')
            .insert({ task: newTask })
            .select() // This returns the new row
            .single();

        if (error) {
            console.error('Error adding todo:', error);
        } else {
            setTodos([...todos, data]);
            setNewTask('');
        }
    };

    // UPDATE: Toggle the is_complete status of a todo
    const toggleTodo = async (id, currentStatus) => {
        const { error } = await supabase
            .from('todos')
            .update({ is_complete: !currentStatus })
            .eq('id', id);

        if (error) {
            console.error('Error toggling todo:', error);
        } else {
            // Update the state locally for a faster UI response
            setTodos(
                todos.map((todo) =>
                    todo.id === id ? { ...todo, is_complete: !currentStatus } : todo
                )
            );
        }
    };
    
    // UPDATE: Save the edited task text
    const saveTodo = async (id) => {
        const { error } = await supabase
            .from('todos')
            .update({ task: editingText })
            .eq('id', id);
            
        if (error) {
            console.error('Error updating todo:', error);
        } else {
            setTodos(
                todos.map((todo) => 
                    todo.id === id ? { ...todo, task: editingText } : todo
                )
            );
            setEditingId(null);
            setEditingText('');
        }
    };

    // DELETE: Remove a todo from the database
    const deleteTodo = async (id) => {
        const { error } = await supabase
            .from('todos')
            .delete()
            .eq('id', id);

        if (error) {
            console.error('Error deleting todo:', error);
        } else {
            // Update the state locally
            setTodos(todos.filter((todo) => todo.id !== id));
        }
    };

    return (
        <div className="todo-container">
            <h1>Supabase Todos</h1>
            {/* Create Form */}
            <form onSubmit={addTodo}>
                <input
                    type="text"
                    placeholder="Add a new task..."
                    value={newTask}
                    onChange={(e) => setNewTask(e.target.value)}
                />
                <button type="submit">Add</button>
            </form>

            {/* Read/Render List */}
            <ul>
                {todos.map((todo) => (
                    <li key={todo.id} className={todo.is_complete ? 'completed' : ''}>
                        <input
                            type="checkbox"
                            checked={todo.is_complete}
                            onChange={() => toggleTodo(todo.id, todo.is_complete)}
                        />
                        {editingId === todo.id ? (
                            <input
                                type="text"
                                value={editingText}
                                onChange={(e) => setEditingText(e.target.value)}
                                onKeyDown={(e) => e.key === 'Enter' && saveTodo(todo.id)}
                            />
                        ) : (
                            <span onDoubleClick={() => {
                                setEditingId(todo.id);
                                setEditingText(todo.task);
                            }}>
                                {todo.task}
                            </span>
                        )}
                        
                        {editingId === todo.id ? (
                            <>
                                <button onClick={() => saveTodo(todo.id)}>Save</button>
                                <button onClick={() => setEditingId(null)}>Cancel</button>
                            </>
                        ) : (
                            <button onClick={() => deleteTodo(todo.id)}>Delete</button>
                        )}
                    </li>
                ))}
            </ul>
        </div>
    );
}

export default Todos;

Step 5: Update App.jsx and add some CSS

  1. Modify src/App.jsx to use your new component:
// src/App.jsx
import Todos from './Todos';
import './App.css'; // We will create this file next

function App() {
  return (
    <div className="App">
      <Todos />
    </div>
  );
}

export default App;
  1. Create a CSS file src/App.css for basic styling:
/* src/App.css */
body {
    font-family: sans-serif;
    background-color: #f4f4f4;
    color: #333;
    display: flex;
    justify-content: center;
    padding-top: 50px;
}

.todo-container {
    background: white;
    padding: 2rem;
    border-radius: 8px;
    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
    width: 100%;
    max-width: 500px;
}

h1 {
    text-align: center;
    color: #444;
}

form {
    display: flex;
    margin-bottom: 1rem;
}

form input[type="text"] {
    flex-grow: 1;
    padding: 0.5rem;
    border: 1px solid #ccc;
    border-radius: 4px;
}

form button {
    padding: 0.5rem 1rem;
    border: none;
    background-color: #28a745;
    color: white;
    border-radius: 4px;
    margin-left: 0.5rem;
    cursor: pointer;
}

ul {
    list-style-type: none;
    padding: 0;
}

li {
    display: flex;
    align-items: center;
    padding: 0.8rem 0;
    border-bottom: 1px solid #eee;
}

li.completed span {
    text-decoration: line-through;
    color: #aaa;
}

li input[type="checkbox"] {
    margin-right: 1rem;
}

li span {
    flex-grow: 1;
    cursor: pointer;
}

li button {
    border: none;
    padding: 0.4rem 0.8rem;
    border-radius: 4px;
    cursor: pointer;
    margin-left: 0.5rem;
}

li button:last-of-type {
    background-color: #dc3545;
    color: white;
}

Step 6: Run the App

You're all set! Run your React app:

npm run dev

Open your browser to http://localhost:5173 (or whatever URL Vite provides). You should now have a fully functional CRUD application!


Bonus: Real-time Updates with Supabase Subscriptions

One of Supabase's best features is real-time updates. Let's modify Todos.jsx to listen for database changes automatically.

  1. Modify the useEffect hook in src/Todos.jsx:
// src/Todos.jsx (Updated useEffect)

useEffect(() => {
    // Initial fetch
    getTodos();

    // Set up the subscription
    const channel = supabase
        .channel('todos-channel')
        .on(
            'postgres_changes',
            { event: '*', schema: 'public', table: 'todos' },
            (payload) => {
                console.log('Change received!', payload);
                // We can use the payload to update the state
                // This is a simple approach: just re-fetch the data
                getTodos();
            }
        )
        .subscribe();

    // Cleanup function to unsubscribe
    return () => {
        supabase.removeChannel(channel);
    };
}, []);

What's happening here?

  • We still call getTodos() once on initial load.
  • supabase.channel(...) creates a new subscription channel.
  • .on(...) listens for specific events. We're listening for all (*) changes in the public schema on the todos table.
  • The callback function receives a payload with information about the change. The simplest way to update the UI is to just call getTodos() again to fetch the fresh list.
  • Crucially, the useEffect hook returns a cleanup function. When the component unmounts, it unsubscribes from the channel to prevent memory leaks.

Now, if you open your app in two browser windows, adding, updating, or deleting a todo in one window will cause the other window to update automatically


Neon authentication for React projects


Of course! Here is a comprehensive guide on how to implement authentication in a React project using a Neon serverless Postgres database.

The Core Concept: Client-Server Architecture

It's crucial to understand that React (the frontend) cannot and should not connect directly to your Neon database. This would expose your database credentials to anyone viewing your website's source code, which is a massive security risk.

Instead, we will build a simple backend server (using Node.js and Express) that acts as a secure intermediary:

  1. React Frontend: Manages the user interface (login forms, registration forms, protected content). It sends user credentials to the backend.
  2. Node.js/Express Backend: Receives requests from the React app. It securely connects to the Neon database, validates user credentials, hashes passwords, and creates authentication tokens (JWTs).
  3. Neon (Postgres) Database: Stores the user data, such as usernames and hashed passwords.

Here's the data flow for a login attempt:

[React App] ---> [API Request with email/password] ---> [Node.js/Express Server]
    ^                                                              |
    |                                                              v
[Updates UI] <--- [Response with JWT Token or Error] <--- [Queries Neon DB]

Prerequisites

Before you start, make sure you have the following installed:


Step 1: Set Up the Neon Database

  1. Create a Neon Project:

    • Log in to your Neon account and create a new project.
    • Once the project is ready, navigate to the Dashboard.
  2. Get the Connection String:

    • On your project dashboard, find the Connection Details widget.
    • Select the Node.js driver option.
    • Copy the connection string. It will look something like postgres://user:[email protected]/dbname?sslmode=require. We'll use this in our backend.
  3. Create a users Table:

    • In the Neon console, go to the SQL Editor.
    • Run the following SQL query to create a table to store your users. We'll use uuid for a unique user ID and store hashed passwords.
    -- Enable the uuid-ossp extension to generate UUIDs
    CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
    
    -- Create the users table
    CREATE TABLE users (
      user_id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
      email VARCHAR(255) UNIQUE NOT NULL,
      password_hash VARCHAR(255) NOT NULL,
      created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
    );

Your database is now ready to store user data.


Step 2: Build the Backend (Node.js & Express)

This server will handle registration and login logic.

  1. Initialize Project:

    mkdir neon-auth-backend
    cd neon-auth-backend
    npm init -y
  2. Install Dependencies:

    • express: The web server framework.
    • pg: The Node.js client for PostgreSQL (to talk to Neon).
    • bcryptjs: To securely hash and compare passwords.
    • jsonwebtoken: To create and verify JSON Web Tokens (JWTs).
    • cors: To allow our React app to make requests to this server.
    • dotenv: To manage environment variables (like our database connection string).
    npm install express pg bcryptjs jsonwebtoken cors dotenv
  3. Set Up Environment Variables: Create a file named .env in the neon-auth-backend root. This file should never be committed to Git.

    # Paste your Neon connection string here
    DATABASE_URL="postgres://user:password@..."
    
    # A secret key for signing JWTs. Make this a long, random string.
    JWT_SECRET="YOUR_SUPER_SECRET_RANDOM_STRING"
  4. Create the Server (server.js): Create a file named server.js and add the following code. Comments explain each part.

    // server.js
    require('dotenv').config();
    const express = require('express');
    const cors = require('cors');
    const bcrypt = require('bcryptjs');
    const jwt = require('jsonwebtoken');
    const { Pool } = require('pg');
    
    const app = express();
    
    // --- MIDDLEWARE ---
    app.use(cors()); // Allows cross-origin requests (from our React frontend)
    app.use(express.json()); // Allows us to parse JSON in request bodies
    
    // --- DATABASE CONNECTION ---
    const pool = new Pool({
      connectionString: process.env.DATABASE_URL,
      ssl: {
        rejectUnauthorized: false, // Required for Neon
      },
    });
    
    // --- API ROUTES ---
    
    // 1. REGISTRATION ROUTE
    app.post('/api/auth/register', async (req, res) => {
      const { email, password } = req.body;
    
      // Basic validation
      if (!email || !password) {
        return res.status(400).json({ error: 'Email and password are required.' });
      }
    
      try {
        // Hash the password
        const salt = await bcrypt.genSalt(10);
        const passwordHash = await bcrypt.hash(password, salt);
    
        // Store new user in the database
        const newUser = await pool.query(
          'INSERT INTO users (email, password_hash) VALUES ($1, $2) RETURNING user_id, email',
          [email, passwordHash]
        );
    
        res.status(201).json({
          message: 'User registered successfully!',
          user: newUser.rows[0],
        });
      } catch (error) {
        console.error('Registration Error:', error);
        // Check for unique constraint violation (email already exists)
        if (error.code === '23505') {
          return res.status(409).json({ error: 'Email already in use.' });
        }
        res.status(500).json({ error: 'Internal server error' });
      }
    });
    
    // 2. LOGIN ROUTE
    app.post('/api/auth/login', async (req, res) => {
      const { email, password } = req.body;
    
      if (!email || !password) {
        return res.status(400).json({ error: 'Email and password are required.' });
      }
    
      try {
        // Find the user by email
        const userResult = await pool.query('SELECT * FROM users WHERE email = $1', [email]);
        const user = userResult.rows[0];
    
        if (!user) {
          return res.status(401).json({ error: 'Invalid credentials.' }); // User not found
        }
    
        // Compare submitted password with stored hash
        const isMatch = await bcrypt.compare(password, user.password_hash);
    
        if (!isMatch) {
          return res.status(401).json({ error: 'Invalid credentials.' }); // Passwords don't match
        }
    
        // Create a JWT
        const payload = {
          user: {
            id: user.user_id,
            email: user.email,
          },
        };
    
        const token = jwt.sign(payload, process.env.JWT_SECRET, {
          expiresIn: '1h', // Token expires in 1 hour
        });
    
        res.json({
          message: 'Logged in successfully!',
          token,
          user: { id: user.user_id, email: user.email },
        });
      } catch (error) {
        console.error('Login Error:', error);
        res.status(500).json({ error: 'Internal server error' });
      }
    });
    
    // --- START SERVER ---
    const PORT = process.env.PORT || 5001;
    app.listen(PORT, () => {
      console.log(`Server is running on port ${PORT}`);
    });
  5. Run the Backend Server:

    node server.js

    Your backend is now running and listening for requests on port 5001.


Step 3: Build the Frontend (React)

  1. Create React App: Open a new terminal window and run:

    npx create-react-app neon-auth-frontend
    cd neon-auth-frontend
  2. Install Dependencies:

    • react-router-dom: For handling routing (e.g., navigating between login, register, and dashboard pages).
    • axios: A popular library for making HTTP requests to our backend.
    npm install react-router-dom axios
  3. Create Components: Inside the src folder, create the following files:

    src/components/Login.js

    import React, { useState } from 'react';
    import axios from 'axios';
    import { useNavigate } from 'react-router-dom';
    
    const Login = () => {
      const [email, setEmail] = useState('');
      const [password, setPassword] = useState('');
      const [error, setError] = useState('');
      const navigate = useNavigate();
    
      const handleSubmit = async (e) => {
        e.preventDefault();
        setError('');
        try {
          const response = await axios.post('http://localhost:5001/api/auth/login', {
            email,
            password,
          });
          // Store the token (e.g., in localStorage)
          localStorage.setItem('token', response.data.token);
          // Redirect to a protected route
          navigate('/dashboard');
        } catch (err) {
          setError(err.response?.data?.error || 'Failed to login');
        }
      };
    
      return (
        <div>
          <h2>Login</h2>
          <form onSubmit={handleSubmit}>
            <input
              type="email"
              placeholder="Email"
              value={email}
              onChange={(e) => setEmail(e.target.value)}
              required
            />
            <input
              type="password"
              placeholder="Password"
              value={password}
              onChange={(e) => setPassword(e.target.value)}
              required
            />
            <button type="submit">Login</button>
          </form>
          {error && <p style={{ color: 'red' }}>{error}</p>}
        </div>
      );
    };
    
    export default Login;

    src/components/Register.js

    import React, { useState } from 'react';
    import axios from 'axios';
    import { useNavigate } from 'react-router-dom';
    
    const Register = () => {
      const [email, setEmail] = useState('');
      const [password, setPassword] = useState('');
      const [message, setMessage] = useState('');
      const [error, setError] = useState('');
      const navigate = useNavigate();
    
      const handleSubmit = async (e) => {
        e.preventDefault();
        setMessage('');
        setError('');
        try {
          await axios.post('http://localhost:5001/api/auth/register', {
            email,
            password,
          });
          setMessage('Registration successful! Please login.');
          setTimeout(() => navigate('/login'), 2000); // Redirect to login after 2 seconds
        } catch (err) {
          setError(err.response?.data?.error || 'Failed to register');
        }
      };
    
      return (
        <div>
          <h2>Register</h2>
          <form onSubmit={handleSubmit}>
            <input
              type="email"
              placeholder="Email"
              value={email}
              onChange={(e) => setEmail(e.target.value)}
              required
            />
            <input
              type="password"
              placeholder="Password"
              value={password}
              onChange={(e) => setPassword(e.target.value)}
              required
            />
            <button type="submit">Register</button>
          </form>
          {message && <p style={{ color: 'green' }}>{message}</p>}
          {error && <p style={{ color: 'red' }}>{error}</p>}
        </div>
      );
    };
    
    export default Register;

    src/components/Dashboard.js (A protected page)

    import React from 'react';
    import { useNavigate } from 'react-router-dom';
    
    const Dashboard = () => {
      const navigate = useNavigate();
    
      const handleLogout = () => {
        localStorage.removeItem('token');
        navigate('/login');
      };
    
      return (
        <div>
          <h2>Dashboard</h2>
          <p>Welcome! You are logged in.</p>
          <button onClick={handleLogout}>Logout</button>
        </div>
      );
    };
    
    export default Dashboard;

    src/components/ProtectedRoute.js (To protect routes)

    import React from 'react';
    import { Navigate } from 'react-router-dom';
    
    const ProtectedRoute = ({ children }) => {
      const token = localStorage.getItem('token');
    
      if (!token) {
        // If no token, redirect to the login page
        return <Navigate to="/login" />;
      }
    
      // If token exists, render the child components
      return children;
    };
    
    export default ProtectedRoute;
  4. Set Up Routing in App.js: Modify src/App.js to set up the routes for your application.

    // src/App.js
    import React from 'react';
    import {
      BrowserRouter as Router,
      Routes,
      Route,
      Link,
      Navigate,
    } from 'react-router-dom';
    import Login from './components/Login';
    import Register from './components/Register';
    import Dashboard from './components/Dashboard';
    import ProtectedRoute from './components/ProtectedRoute';
    import './App.css';
    
    function App() {
      return (
        <Router>
          <div className="App">
            <nav>
              <ul>
                <li>
                  <Link to="/login">Login</Link>
                </li>
                <li>
                  <Link to="/register">Register</Link>
                </li>
              </ul>
            </nav>
            <main>
              <Routes>
                <Route path="/login" element={<Login />} />
                <Route path="/register" element={<Register />} />
                <Route
                  path="/dashboard"
                  element={
                    <ProtectedRoute>
                      <Dashboard />
                    </ProtectedRoute>
                  }
                />
                {/* Redirect root to login page */}
                <Route path="/" element={<Navigate to="/login" />} />
              </Routes>
            </main>
          </div>
        </Router>
      );
    }
    
    export default App;
  5. Run the React App: Make sure your backend server is still running in its terminal. In the frontend terminal, run:

    npm start

    Your React app will open in the browser at http://localhost:3000. You can now navigate between the Login and Register pages, create an account (which gets stored in Neon!), log in, and access the protected dashboard.


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