Lets ask chatgpt

import java.util.HashMap;
import java.util.Map;

public class ProductFamilyMatcher {
    static class TrieNode {
        Map children = new HashMap<>();
        String familyName = null;
    }

    static Map familyCodes = new HashMap<>();

    static void addFamily(String code, String familyCode){
        familyCodes.put(code, familyCode);
    }

    static String resolve(String productCode ){
        Set filtered = familyCodes.keySet().stream()
                .filter(key -> productCode.startsWith(key))
                .sorted( )
                .collect(Collectors.toSet());

        int lenght = 0;
        filtered.forEach( key -> {
            if (lenght < key.length()) {

            }
        });

        return "";
    }

    public static void main(String[] args) {

        System.out.printf("Hello and welcome!");
        addFamily("3", "1");
        addFamily("30", "2");
        addFamily("301", "3");
        addFamily("3010", "4");


        for (int i = 1; i <= 5; i++) {

            System.out.println("i = " + i);
        }
    }
}
        

The time complexity of this algorithm can be analyzed based on the operations in the findProductFamily method.

Total Time Complexity: O(N×M)
- N is the number of family codes in the map.
- M is the length of the product code.

Space Complexity: O(N)
- We are storing N family codes in the map.
                    

Yes! You're on the right track. Using a prefix tree (Trie) can significantly improve performance by reducing the number of comparisons.

Time Complexity for querying: O(M), where M is the length of the product code.
This is a significant improvement over O(N×M).
                    

                        
import java.util.HashMap;
import java.util.Map;

public class ProductFamilyMatcher {

  // Trie Node class
  static class TrieNode {
    Map children = new HashMap<>();
    String familyName = null;  // This will store the family name at the leaf node
  }

  // Root of the Trie
  private static final TrieNode root = new TrieNode();

  // Method to insert family codes into the Trie
  private static void insertFamilyCode(String familyCode, String familyName) {
    TrieNode currentNode = root;

    // Traverse each character in the family code
    for (char c : familyCode.toCharArray()) {
      currentNode = currentNode.children.computeIfAbsent(c, k -> new TrieNode());
    }

    // Set the family name at the leaf node
    currentNode.familyName = familyName;
  }

  // Method to find the family for a given product code
  public static String findProductFamily(String productCode) {
    TrieNode currentNode = root;

    // Traverse the Trie based on the product code
    for (char c : productCode.toCharArray()) {
      currentNode = currentNode.children.get(c);
      if (currentNode == null) {
        return "No matching family found";  // If no matching family code prefix
      }
    }

    // Return the family name at the last matched node
    return currentNode.familyName != null ? currentNode.familyName : "No matching family found";
  }

  public static void main(String[] args) {
    // Insert family codes into the Trie
    insertFamilyCode("1", "family_1");
    insertFamilyCode("3", "family_2");
    insertFamilyCode("301", "family_3");
    insertFamilyCode("3010", "family_4");
    insertFamilyCode("4010", "family_5");

    // Test cases
    System.out.println(findProductFamily("301020"));  // Expected output: family_4
    System.out.println(findProductFamily("3015010")); // Expected output: family_3
    System.out.println(findProductFamily("401234"));  // Expected output: family_5
    System.out.println(findProductFamily("12345"));   // Expected output: family_1
  }
}
                        
                     

        
package interview;
import java.util.HashMap;
import java.util.Map;

public class ProductFamilyMatcher {

    // Trie Node class
    static class TrieNode {
        Map children = new HashMap<>();
        String familyName = null;  // This will store the family name at the leaf node
    }

    // Root of the Trie
    private static final TrieNode root = new TrieNode();

    // Method to insert family codes into the Trie
    private static void insertFamilyCode(String familyCode, String familyName) {
        TrieNode currentNode = root;

        // Traverse each character in the family code
        for (char c : familyCode.toCharArray()) {
            currentNode = currentNode.children.computeIfAbsent(c, k -> new TrieNode());
        }

        // Set the family name at the leaf node
        currentNode.familyName = familyName;
    }

    // Method to find the family for a given product code
    public static String findProductFamily(String productCode) {
        TrieNode currentNode = root;

        TrieNode lastMatchNode = root;
        // Traverse the Trie based on the product code
        for (char c : productCode.toCharArray()) {
            currentNode = currentNode.children.get(c);
            if (currentNode == null) {
                break;
            } else {
                lastMatchNode = currentNode;
            }
        }


        // Return the family name at the last matched node
        return lastMatchNode.familyName != null ? lastMatchNode.familyName : "No matching family found";
    }

    public static void main(String[] args) {
        // Insert family codes into the Trie
        insertFamilyCode("1", "family_1");
        insertFamilyCode("3", "family_2");
        insertFamilyCode("301", "family_3");
        insertFamilyCode("3010", "family_4");
        insertFamilyCode("4010", "family_5");

        // Test cases
        System.out.println(findProductFamily("301020"));  // Expected output: family_4
        System.out.println(findProductFamily("3015010")); // Expected output: family_3
        System.out.println(findProductFamily("401234"));  // Expected output: family_5
        System.out.println(findProductFamily("12345"));   // Expected output: family_1
    }
}

It's always a good idea to validate and check the code I suggest for several reasons:

1. Context Limitations
    I rely on the context you provide, but I might miss specific project constraints, coding standards, or architectural decisions.
    If I misunderstand your requirements, my solution might not fit your exact needs.
2. Syntax & Compatibility Issues
    While I aim to generate syntactically correct code, minor errors may occur due to differences in language versions, frameworks, or dependencies.
    Your environment (e.g., Java version, Spring Boot configuration) might have constraints I’m unaware of.
3. Security Concerns
    Code involving authentication, encryption, or external inputs should always be reviewed for potential vulnerabilities.
    I don't run security audits, so it's crucial to check for risks like SQL injection, XSS, or insecure data handling.
4. Performance Optimization
    I might suggest a working solution, but not necessarily the most efficient one.
    Some optimizations depend on your data size, concurrency needs, or specific business rules.
5. Integration with Existing Codebase
    My code suggestions may not perfectly align with your existing architecture, patterns, or dependencies.
    You may need to adapt my code to match your team's coding style and best practices.
6. Testing & Edge Cases
    My code is not tested in a real environment, so unexpected edge cases might arise.
    Always run unit and integration tests to verify correctness and stability.
7. Legal & Licensing Considerations
    If you're using open-source dependencies, verify their licenses to avoid compliance issues.
8. Business Logic Accuracy
    I don’t have deep domain knowledge of your specific business rules unless explicitly provided.
    Double-check that my logic aligns with your requirements, especially for critical applications.