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Multi-threaded Web Server

Certification: Advanced Level Accuracy: 100% Submissions: 2 Points: 15

Write a Python program to implement a multi-threaded web server that can handle multiple client requests concurrently. The server should be able to serve static files from a specified directory and handle basic HTTP requests.

Example 1
    

  • Input:
    server = WebServer(port=8080, document_root="./www")
    server.start()
    # Client: GET /index.html HTTP/1.1
    • 

  • Output:
    HTTP/1.1 200 OK
    Content-Type: text/html
    Content-Length: 325
    ...<html><head><title>Welcome</title></head><body><h1>Hello World!</h1></body></html>
    • 

  • Explanation:

      

    • Server returns index.html from document root.
      • 

    • Includes correct HTTP headers.
      • 

    

    •
Example 2
    

  • Input:
    # Client: GET /nonexistent.html HTTP/1.1
    • 

  • Output:
    HTTP/1.1 404 Not Found
    ...<h1>404 Not Found</h1><p>The requested resource was not found.</p>
    • 

  • Explanation:

      

    • 404 error page returned for missing file.
      • 

    

    •
Constraints
    

  • ≥ 50 concurrent connections
    • 

  • Max static file size: 100MB
    • 

  • Response time ≤ 500ms
    • 

  • Supports .html, .css, .js, .jpg, .png, .gif
    • 

  • Time Complexity: O(n)
    • 

  • Space Complexity: O(m)
    •
File Handling Multi-Threading AmazonGoogle
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Hint
Solution

Solution Hints

    
  
  • Use Python's socket module to create a TCP server
    • 
  
  • Implement threading with Python's threading module
    • 
  
  • Create a thread pool to limit and manage concurrent connections
    • 
  
  • Parse HTTP requests and generate appropriate HTTP responses
    • 
  
  • Use file I/O operations to read static files from the document root
    •

Steps to solve by this approach:

 Step 1: Set up a socket server that listens on the specified port.
 Step 2: Create a main server loop that accepts client connections.
 Step 3: Implement multi-threading to handle each client connection in a separate thread.
 Step 4: Parse incoming HTTP requests to extract the method, path, and headers.
 Step 5: Generate appropriate HTTP responses based on the request and file system.
 Step 6: Add error handling for invalid requests and missing resources.
 Step 7: Implement proper resource cleanup for sockets and threads.

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