--- name: code-documentation-generator description: Эксперт по документации кода. Используй для JSDoc, docstrings, комментариев и автогенерации документации. --- # Code Documentation Generator Эксперт по созданию качественной документации кода. ## Основные принципы - **Clarity > Sophistication** — ясность важнее сложности - **Progressive disclosure** — от общего к деталям - **Consistency** — единообразие форматирования - **Accuracy** — синхронизация с кодом - **Accessibility** — для разных уровней разработчиков ## JSDoc (JavaScript/TypeScript) ```javascript /** * Calculates the total price including tax and discounts. * * @param {number} basePrice - The original price before modifications * @param {number} taxRate - Tax rate as decimal (e.g., 0.21 for 21%) * @param {number} [discount=0] - Optional discount as decimal * @returns {number} The final calculated price * @throws {Error} If basePrice or taxRate is negative * * @example * // Calculate price with 21% tax and 10% discount * const total = calculateTotalPrice(100, 0.21, 0.10); * // Returns: 108.90 */ function calculateTotalPrice(basePrice, taxRate, discount = 0) { if (basePrice < 0 || taxRate < 0) { throw new Error('Price and tax rate must be non-negative'); } const discountedPrice = basePrice * (1 - discount); return discountedPrice * (1 + taxRate); } ``` ## TypeScript с JSDoc ```typescript /** * User service for managing user operations. */ export class UserService { /** * Creates a new user in the system. * * @param userData - The user data for registration * @returns Promise resolving to the created user * @throws {ValidationError} When user data is invalid * @throws {DuplicateError} When email already exists * * @example * const user = await userService.createUser({ * email: 'user@example.com', * name: 'John Doe' * }); */ async createUser(userData: CreateUserDTO): Promise { // Implementation } /** * Retrieves a user by their unique identifier. * * @param id - The user's UUID * @returns The user if found, null otherwise */ async getUserById(id: string): Promise { // Implementation } } ``` ## Python Docstrings (Google Style) ```python def process_transaction( amount: float, currency: str, metadata: dict | None = None ) -> TransactionResult: """Process a financial transaction with validation and logging. This function handles the complete transaction lifecycle including validation, processing, and audit logging. It supports multiple currencies and optional metadata attachment. Args: amount: The transaction amount in the specified currency. Must be positive and not exceed the daily limit. currency: ISO 4217 currency code (e.g., 'USD', 'EUR'). metadata: Optional dictionary with additional transaction details. Keys 'reference' and 'notes' are recommended. Returns: TransactionResult containing: - transaction_id: Unique identifier for the transaction - status: 'completed', 'pending', or 'failed' - timestamp: UTC datetime of processing - fee: Applied transaction fee Raises: ValidationError: If amount is negative or exceeds limits. CurrencyNotSupportedError: If currency code is invalid. InsufficientFundsError: If account balance is too low. Example: >>> result = process_transaction( ... amount=100.50, ... currency='USD', ... metadata={'reference': 'INV-001'} ... ) >>> print(result.transaction_id) 'txn_abc123xyz' Note: Transactions over $10,000 require additional verification and may be held for compliance review. """ pass ``` ## Python Docstrings (NumPy Style) ```python def calculate_statistics( data: np.ndarray, weights: np.ndarray | None = None, axis: int = 0 ) -> dict: """ Calculate weighted statistics for the input data. Parameters ---------- data : np.ndarray Input data array of shape (n_samples, n_features). weights : np.ndarray, optional Weight array of shape (n_samples,). If None, uniform weights are used. axis : int, default=0 Axis along which to compute statistics. Returns ------- dict Dictionary containing: - 'mean' : np.ndarray Weighted mean values. - 'std' : np.ndarray Weighted standard deviation. - 'median' : np.ndarray Weighted median values. Raises ------ ValueError If data and weights have incompatible shapes. TypeError If data is not a numpy array. See Also -------- numpy.average : Compute weighted average. scipy.stats.describe : Compute descriptive statistics. Examples -------- >>> data = np.array([[1, 2], [3, 4], [5, 6]]) >>> stats = calculate_statistics(data) >>> stats['mean'] array([3., 4.]) """ pass ``` ## REST API Documentation ```yaml # OpenAPI/Swagger style paths: /api/users: post: summary: Create a new user description: | Creates a new user account with the provided information. Email must be unique across the system. tags: - Users security: - bearerAuth: [] requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CreateUserRequest' example: email: "user@example.com" name: "John Doe" role: "member" responses: '201': description: User created successfully content: application/json: schema: $ref: '#/components/schemas/User' '400': description: Invalid request data '409': description: Email already exists ``` ## Markdown API Documentation ```markdown ## Create User Creates a new user account. **Endpoint:** `POST /api/users` **Authentication:** Bearer token required ### Request Body | Field | Type | Required | Description | |-------|------|----------|-------------| | email | string | Yes | User's email address | | name | string | Yes | Full name (2-100 chars) | | role | string | No | Role: "admin", "member" (default) | ### Example Request ```json { "email": "user@example.com", "name": "John Doe", "role": "member" } ``` ### Response **201 Created** ```json { "id": "usr_abc123", "email": "user@example.com", "name": "John Doe", "role": "member", "createdAt": "2024-01-15T10:30:00Z" } ``` ### Error Responses | Code | Description | |------|-------------| | 400 | Invalid request data | | 401 | Unauthorized | | 409 | Email already exists | ``` ## README Template ```markdown # Project Name Brief description of what this project does. ## Features - Feature 1 - Feature 2 - Feature 3 ## Quick Start ```bash npm install project-name ``` ```javascript import { Client } from 'project-name'; const client = new Client({ apiKey: 'your-key' }); const result = await client.doSomething(); ``` ## Prerequisites - Node.js 18+ - npm 8+ ## Installation ```bash # Using npm npm install project-name # Using yarn yarn add project-name ``` ## Configuration | Variable | Default | Description | |----------|---------|-------------| | API_KEY | - | Your API key (required) | | TIMEOUT | 30000 | Request timeout in ms | | DEBUG | false | Enable debug logging | ## Contributing See [CONTRIBUTING.md](CONTRIBUTING.md) ## License MIT ``` ## Inline Comments ```javascript // GOOD: Explain WHY, not WHAT // Skip validation for internal requests to improve performance // External requests are validated at the API gateway if (request.isInternal) { return processDirectly(data); } // BAD: States the obvious // Check if user is null if (user === null) { return null; } // GOOD: Document complex logic // Using binary search for O(log n) lookup in sorted array // Linear search would be O(n) for 10k+ items const index = binarySearch(sortedItems, targetId); // GOOD: Explain business rules // Orders over $1000 require manager approval per policy DOC-123 // This threshold was set by finance team in Q3 2023 if (order.total > 1000 && !order.hasManagerApproval) { throw new ApprovalRequiredError(); } ``` ## Автоматизация документации ### TypeDoc ```json { "typedocOptions": { "entryPoints": ["src/index.ts"], "out": "docs", "plugin": ["typedoc-plugin-markdown"], "readme": "README.md", "excludePrivate": true, "excludeInternal": true } } ``` ### Sphinx (Python) ```python # conf.py extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.napoleon', 'sphinx.ext.viewcode', 'sphinx_autodoc_typehints' ] autodoc_default_options = { 'members': True, 'undoc-members': True, 'show-inheritance': True } ``` ## Лучшие практики 1. **Документируйте публичный API** — всё, что экспортируется 2. **Примеры кода** — реальные use cases 3. **Обновляйте синхронно** — документация = часть PR 4. **Используйте линтеры** — eslint-plugin-jsdoc, pydocstyle 5. **Версионируйте** — документация должна соответствовать версии кода