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code-translation

Convert code between programming languages while preserving functionality and semantics. Use when: (1) Translating functions, classes, or modules between languages (Python, JavaScript/TypeScript, Java, Go, Rust, C/C++), (2) Migrating entire projects to a different language, (3) Need idiomatic translation that follows target language conventions, (4) Converting between different paradigms (OOP to functional, etc.), (5) Porting legacy code to modern languages. Provides language-specific patterns, idiomatic translation guides, and project migration strategies.

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npx tessl i github:ArabelaTso/Skills-4-SE --skill code-translation
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Code Translation

Convert code between programming languages while preserving functionality, adapting to target language idioms and best practices.

Translation Workflow

1. Analyze Source Code

Understand what the code does:

  • Core functionality and algorithms
  • Dependencies and external libraries
  • Language-specific features used
  • Performance characteristics

2. Choose Translation Strategy

Direct Translation: Literal conversion maintaining structure

  • Use for: Simple algorithms, data transformations, utility functions
  • Pros: Faster, easier to verify correctness
  • Cons: May not be idiomatic in target language

Idiomatic Translation: Adapt to target language patterns

  • Use for: Production code, public APIs, long-term maintenance
  • Pros: Native-feeling code, better performance, maintainable
  • Cons: Takes longer, requires deep language knowledge

Recommended: Start with direct translation, then refine to idiomatic.

3. Translate Code

Perform the translation following language patterns and conventions.

4. Verify Correctness

Ensure translated code behaves identically to source:

  • Port existing tests
  • Add behavioral tests
  • Compare outputs on same inputs

Quick Translation Examples

Python → JavaScript

Source (Python)

def calculate_total(items):
    """Calculate total price with tax."""
    subtotal = sum(item['price'] * item['quantity'] for item in items)
    tax = subtotal * 0.08
    return subtotal + tax

# Usage
items = [
    {'name': 'Widget', 'price': 10.0, 'quantity': 2},
    {'name': 'Gadget', 'price': 15.0, 'quantity': 1}
]
total = calculate_total(items)

Target (JavaScript)

function calculateTotal(items) {
    // Calculate total price with tax
    const subtotal = items.reduce(
        (sum, item) => sum + item.price * item.quantity,
        0
    );
    const tax = subtotal * 0.08;
    return subtotal + tax;
}

// Usage
const items = [
    { name: 'Widget', price: 10.0, quantity: 2 },
    { name: 'Gadget', price: 15.0, quantity: 1 }
];
const total = calculateTotal(items);

JavaScript → Python

Source (JavaScript)

async function fetchUserData(userId) {
    try {
        const response = await fetch(`/api/users/${userId}`);
        if (!response.ok) {
            throw new Error(`HTTP ${response.status}`);
        }
        return await response.json();
    } catch (error) {
        console.error(`Failed to fetch user: ${error.message}`);
        return null;
    }
}

Target (Python)

import aiohttp
import logging

async def fetch_user_data(user_id: int) -> dict | None:
    """Fetch user data from API."""
    try:
        async with aiohttp.ClientSession() as session:
            async with session.get(f'/api/users/{user_id}') as response:
                if not response.ok:
                    raise ValueError(f'HTTP {response.status}')
                return await response.json()
    except Exception as e:
        logging.error(f'Failed to fetch user: {e}')
        return None

Java → Go

Source (Java)

public class UserService {
    private final UserRepository repository;

    public UserService(UserRepository repository) {
        this.repository = repository;
    }

    public Optional<User> findById(Long id) {
        return repository.findById(id);
    }

    public List<User> findAll() {
        return repository.findAll();
    }
}

Target (Go)

type UserService struct {
    repository UserRepository
}

func NewUserService(repository UserRepository) *UserService {
    return &UserService{repository: repository}
}

func (s *UserService) FindById(id int64) (*User, error) {
    return s.repository.FindById(id)
}

func (s *UserService) FindAll() ([]User, error) {
    return s.repository.FindAll()
}

Common Translation Patterns

Data Structures

Lists/Arrays

# Python
numbers = [1, 2, 3]
numbers.append(4)
// JavaScript
const numbers = [1, 2, 3];
numbers.push(4);
// Go
numbers := []int{1, 2, 3}
numbers = append(numbers, 4)

Dictionaries/Maps

# Python
user = {"name": "Alice", "age": 30}
// JavaScript
const user = { name: "Alice", age: 30 };
// Go
user := map[string]interface{}{
    "name": "Alice",
    "age":  30,
}

Error Handling

Exceptions → Error Returns

# Python
def divide(a, b):
    if b == 0:
        raise ValueError("Cannot divide by zero")
    return a / b
// Go
func divide(a, b float64) (float64, error) {
    if b == 0 {
        return 0, errors.New("cannot divide by zero")
    }
    return a / b, nil
}

Error Returns → Exceptions

// Go
result, err := divide(10, 0)
if err != nil {
    return err
}
# Python
try:
    result = divide(10, 0)
except ValueError as e:
    print(f"Error: {e}")

Async/Concurrency

Python asyncio → JavaScript async/await

# Python
async def fetch_all(urls):
    tasks = [fetch(url) for url in urls]
    return await asyncio.gather(*tasks)
// JavaScript
async function fetchAll(urls) {
    const promises = urls.map(url => fetch(url));
    return await Promise.all(promises);
}

JavaScript Promises → Go Goroutines

// JavaScript
const results = await Promise.all([
    fetchUser(1),
    fetchUser(2),
    fetchUser(3)
]);
// Go
var wg sync.WaitGroup
results := make([]*User, 3)

for i := 1; i <= 3; i++ {
    wg.Add(1)
    go func(id int) {
        defer wg.Done()
        results[id-1] = fetchUser(id)
    }(i)
}
wg.Wait()

Translation Decision Tree

Is this a complete project migration?
├─ Yes → See [project_migration.md](references/project_migration.md)
│         Follow 8-phase migration process
│
└─ No → Is this a function/class/module?
        │
        ├─ Single function
        │  ├─ Simple logic? → Direct translation
        │  └─ Complex logic? → Idiomatic translation
        │
        ├─ Class with methods
        │  ├─ Does target language have classes?
        │  │  ├─ Yes → Translate class structure
        │  │  └─ No → Convert to module/functions
        │
        └─ Full module
           └─ Translate file by file
              Consider dependencies first

Language-Specific Guidance

For Idiomatic Translation

See idiomatic_guide.md for:

  • Language-specific idioms and patterns
  • Naming conventions (snake_case, camelCase, PascalCase)
  • Standard library usage
  • Anti-patterns to avoid
  • Community style guides

For Specific Language Pairs

See language_patterns.md for detailed patterns:

  • Python ↔ JavaScript/TypeScript
  • Java ↔ Python
  • Python ↔ Go
  • C++ ↔ Rust
  • TypeScript ↔ Go
  • Common patterns across all languages

For Project Migration

See project_migration.md for:

  • 8-phase migration process
  • Dependency mapping
  • Build system translation
  • Testing strategies
  • Deployment configuration
  • Incremental migration approaches

Best Practices

1. Preserve Behavior, Not Structure

Focus on what the code does, not how it's written:

# Python (imperative)
total = 0
for item in items:
    total += item.price
// JavaScript (functional - different structure, same behavior)
const total = items.reduce((sum, item) => sum + item.price, 0);

2. Use Target Language Features

Don't fight the language - embrace its strengths:

# Python - use list comprehensions
squares = [x**2 for x in range(10)]

# Not: Java-style loop
squares = []
for x in range(10):
    squares.append(x**2)

3. Maintain Type Safety When Possible

Add type hints/annotations in statically typed languages:

# Python source (dynamic)
def greet(name):
    return f"Hello, {name}"
// TypeScript (add types)
function greet(name: string): string {
    return `Hello, ${name}`;
}

4. Handle Library Differences

Map to equivalent libraries or implement abstractions:

# Python using requests
import requests
response = requests.get(url)
data = response.json()
// JavaScript using fetch
const response = await fetch(url);
const data = await response.json();

5. Test Rigorously

Verify translated code behaves identically:

# Port tests alongside code
def test_calculate_total():
    items = [{"price": 10, "quantity": 2}]
    assert calculate_total(items) == 21.6  # 20 + 8% tax
// Same test in target language
test('calculateTotal', () => {
    const items = [{ price: 10, quantity: 2 }];
    expect(calculateTotal(items)).toBe(21.6);
});

Translation Checklist

Before Translation

  • Understand source code functionality
  • Identify dependencies and library equivalents
  • Choose translation strategy (direct vs idiomatic)
  • Set up target project structure

During Translation

  • Translate core logic first
  • Adapt to target language idioms
  • Handle error handling differences
  • Map data structures appropriately
  • Convert async/concurrency patterns
  • Translate comments and documentation

After Translation

  • Port or create tests
  • Verify behavioral equivalence
  • Code review for idioms
  • Performance testing
  • Update documentation
  • Add type hints/annotations if applicable

Common Pitfalls

1. Literal Translation

❌ Translating line-by-line without adapting ✅ Adapting to target language patterns

2. Ignoring Language Safety

❌ Using any/interface{}/Object everywhere ✅ Proper typing and error handling

3. Wrong Abstraction Level

❌ Translating implementation details ✅ Translating behavior and intent

4. Missing Edge Cases

❌ Assuming same behavior for edge cases ✅ Testing boundary conditions

5. Performance Blindness

❌ Ignoring performance characteristics ✅ Profiling and optimizing for target language

Example: Complete Translation

Python Source

class Calculator:
    """Simple calculator with memory."""

    def __init__(self):
        self.memory = 0

    def add(self, a: float, b: float) -> float:
        """Add two numbers."""
        result = a + b
        self.memory = result
        return result

    def recall(self) -> float:
        """Recall last result."""
        return self.memory

    def clear(self):
        """Clear memory."""
        self.memory = 0

TypeScript Translation

/**
 * Simple calculator with memory.
 */
class Calculator {
    private memory: number = 0;

    /**
     * Add two numbers.
     */
    add(a: number, b: number): number {
        const result = a + b;
        this.memory = result;
        return result;
    }

    /**
     * Recall last result.
     */
    recall(): number {
        return this.memory;
    }

    /**
     * Clear memory.
     */
    clear(): void {
        this.memory = 0;
    }
}

Go Translation (Idiomatic)

// Calculator is a simple calculator with memory.
type Calculator struct {
    memory float64
}

// NewCalculator creates a new calculator.
func NewCalculator() *Calculator {
    return &Calculator{memory: 0}
}

// Add two numbers and store result in memory.
func (c *Calculator) Add(a, b float64) float64 {
    result := a + b
    c.memory = result
    return result
}

// Recall returns the last result.
func (c *Calculator) Recall() float64 {
    return c.memory
}

// Clear resets the memory to zero.
func (c *Calculator) Clear() {
    c.memory = 0
}
Repository
ArabelaTso/Skills-4-SE
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