error-handling-patterns

Par wshobson · agents

Maîtrisez les patterns de gestion des erreurs dans différents langages : exceptions, types Result, propagation des erreurs et dégradation gracieuse, pour construire des applications résilientes. À utiliser lors de l'implémentation de la gestion des erreurs, de la conception d'API ou de l'amélioration de la fiabilité des applications.

npx skills add https://github.com/wshobson/agents --skill error-handling-patterns

Modèles de Gestion d'Erreurs

Construisez des applications résilientes avec des stratégies de gestion d'erreurs robustes qui gèrent élégamment les défaillances et offrent d'excellentes expériences de débogage.

Quand Utiliser Cette Compétence

  • Implémenter la gestion d'erreurs dans les nouvelles fonctionnalités
  • Concevoir des API résilientes aux erreurs
  • Déboguer les problèmes en production
  • Améliorer la fiabilité des applications
  • Créer de meilleurs messages d'erreur pour les utilisateurs et les développeurs
  • Implémenter les modèles de retry et circuit breaker
  • Gérer les erreurs async/concurrentes
  • Construire des systèmes distribués tolérants aux défaillances

Concepts Fondamentaux

1. Philosophies de Gestion d'Erreurs

Exceptions vs Types de Résultat:

  • Exceptions: Try-catch traditionnel, interrompt le flux de contrôle
  • Types de Résultat: Succès/échec explicite, approche fonctionnelle
  • Codes d'Erreur: Style C, nécessite de la discipline
  • Types Option/Maybe: Pour les valeurs nullables

Quand Utiliser Chacun:

  • Exceptions: Erreurs inattendues, conditions exceptionnelles
  • Types de Résultat: Erreurs attendues, échecs de validation
  • Paniques/Crashes: Erreurs irrécupérables, bugs de programmation

2. Catégories d'Erreurs

Erreurs Récupérables:

  • Timeouts réseau
  • Fichiers manquants
  • Entrée utilisateur invalide
  • Limites de débit API

Erreurs Irrécupérables:

  • Dépassement de mémoire
  • Débordement de pile
  • Bugs de programmation (pointeur null, etc.)

Modèles Spécifiques au Langage

Gestion d'Erreurs Python

Hiérarchie d'Exceptions Personnalisées:

class ApplicationError(Exception):
    """Base exception for all application errors."""
    def __init__(self, message: str, code: str = None, details: dict = None):
        super().__init__(message)
        self.code = code
        self.details = details or {}
        self.timestamp = datetime.utcnow()

class ValidationError(ApplicationError):
    """Raised when validation fails."""
    pass

class NotFoundError(ApplicationError):
    """Raised when resource not found."""
    pass

class ExternalServiceError(ApplicationError):
    """Raised when external service fails."""
    def __init__(self, message: str, service: str, **kwargs):
        super().__init__(message, **kwargs)
        self.service = service

# Usage
def get_user(user_id: str) -> User:
    user = db.query(User).filter_by(id=user_id).first()
    if not user:
        raise NotFoundError(
            f"User not found",
            code="USER_NOT_FOUND",
            details={"user_id": user_id}
        )
    return user

Gestionnaires de Contexte pour le Nettoyage:

from contextlib import contextmanager

@contextmanager
def database_transaction(session):
    """Ensure transaction is committed or rolled back."""
    try:
        yield session
        session.commit()
    except Exception as e:
        session.rollback()
        raise
    finally:
        session.close()

# Usage
with database_transaction(db.session) as session:
    user = User(name="Alice")
    session.add(user)
    # Automatic commit or rollback

Retry avec Backoff Exponentiel:

import time
from functools import wraps
from typing import TypeVar, Callable

T = TypeVar('T')

def retry(
    max_attempts: int = 3,
    backoff_factor: float = 2.0,
    exceptions: tuple = (Exception,)
):
    """Retry decorator with exponential backoff."""
    def decorator(func: Callable[..., T]) -> Callable[..., T]:
        @wraps(func)
        def wrapper(*args, **kwargs) -> T:
            last_exception = None
            for attempt in range(max_attempts):
                try:
                    return func(*args, **kwargs)
                except exceptions as e:
                    last_exception = e
                    if attempt < max_attempts - 1:
                        sleep_time = backoff_factor ** attempt
                        time.sleep(sleep_time)
                        continue
                    raise
            raise last_exception
        return wrapper
    return decorator

# Usage
@retry(max_attempts=3, exceptions=(NetworkError,))
def fetch_data(url: str) -> dict:
    response = requests.get(url, timeout=5)
    response.raise_for_status()
    return response.json()

Gestion d'Erreurs TypeScript/JavaScript

Classes d'Erreur Personnalisées:

// Custom error classes
class ApplicationError extends Error {
  constructor(
    message: string,
    public code: string,
    public statusCode: number = 500,
    public details?: Record<string, any>,
  ) {
    super(message);
    this.name = this.constructor.name;
    Error.captureStackTrace(this, this.constructor);
  }
}

class ValidationError extends ApplicationError {
  constructor(message: string, details?: Record<string, any>) {
    super(message, "VALIDATION_ERROR", 400, details);
  }
}

class NotFoundError extends ApplicationError {
  constructor(resource: string, id: string) {
    super(`${resource} not found`, "NOT_FOUND", 404, { resource, id });
  }
}

// Usage
function getUser(id: string): User {
  const user = users.find((u) => u.id === id);
  if (!user) {
    throw new NotFoundError("User", id);
  }
  return user;
}

Modèle Type Result:

// Result type for explicit error handling
type Result<T, E = Error> = { ok: true; value: T } | { ok: false; error: E };

// Helper functions
function Ok<T>(value: T): Result<T, never> {
  return { ok: true, value };
}

function Err<E>(error: E): Result<never, E> {
  return { ok: false, error };
}

// Usage
function parseJSON<T>(json: string): Result<T, SyntaxError> {
  try {
    const value = JSON.parse(json) as T;
    return Ok(value);
  } catch (error) {
    return Err(error as SyntaxError);
  }
}

// Consuming Result
const result = parseJSON<User>(userJson);
if (result.ok) {
  console.log(result.value.name);
} else {
  console.error("Parse failed:", result.error.message);
}

// Chaining Results
function chain<T, U, E>(
  result: Result<T, E>,
  fn: (value: T) => Result<U, E>,
): Result<U, E> {
  return result.ok ? fn(result.value) : result;
}

Gestion d'Erreurs Async:

// Async/await with proper error handling
async function fetchUserOrders(userId: string): Promise<Order[]> {
  try {
    const user = await getUser(userId);
    const orders = await getOrders(user.id);
    return orders;
  } catch (error) {
    if (error instanceof NotFoundError) {
      return []; // Return empty array for not found
    }
    if (error instanceof NetworkError) {
      // Retry logic
      return retryFetchOrders(userId);
    }
    // Re-throw unexpected errors
    throw error;
  }
}

// Promise error handling
function fetchData(url: string): Promise<Data> {
  return fetch(url)
    .then((response) => {
      if (!response.ok) {
        throw new NetworkError(`HTTP ${response.status}`);
      }
      return response.json();
    })
    .catch((error) => {
      console.error("Fetch failed:", error);
      throw error;
    });
}

Gestion d'Erreurs Rust

Types Result et Option:

use std::fs::File;
use std::io::{self, Read};

// Result type for operations that can fail
fn read_file(path: &str) -> Result<String, io::Error> {
    let mut file = File::open(path)?;  // ? operator propagates errors
    let mut contents = String::new();
    file.read_to_string(&mut contents)?;
    Ok(contents)
}

// Custom error types
#[derive(Debug)]
enum AppError {
    Io(io::Error),
    Parse(std::num::ParseIntError),
    NotFound(String),
    Validation(String),
}

impl From<io::Error> for AppError {
    fn from(error: io::Error) -> Self {
        AppError::Io(error)
    }
}

// Using custom error type
fn read_number_from_file(path: &str) -> Result<i32, AppError> {
    let contents = read_file(path)?;  // Auto-converts io::Error
    let number = contents.trim().parse()
        .map_err(AppError::Parse)?;   // Explicitly convert ParseIntError
    Ok(number)
}

// Option for nullable values
fn find_user(id: &str) -> Option<User> {
    users.iter().find(|u| u.id == id).cloned()
}

// Combining Option and Result
fn get_user_age(id: &str) -> Result<u32, AppError> {
    find_user(id)
        .ok_or_else(|| AppError::NotFound(id.to_string()))
        .map(|user| user.age)
}

Gestion d'Erreurs Go

Retours d'Erreur Explicites:

// Basic error handling
func getUser(id string) (*User, error) {
    user, err := db.QueryUser(id)
    if err != nil {
        return nil, fmt.Errorf("failed to query user: %w", err)
    }
    if user == nil {
        return nil, errors.New("user not found")
    }
    return user, nil
}

// Custom error types
type ValidationError struct {
    Field   string
    Message string
}

func (e *ValidationError) Error() string {
    return fmt.Sprintf("validation failed for %s: %s", e.Field, e.Message)
}

// Sentinel errors for comparison
var (
    ErrNotFound     = errors.New("not found")
    ErrUnauthorized = errors.New("unauthorized")
    ErrInvalidInput = errors.New("invalid input")
)

// Error checking
user, err := getUser("123")
if err != nil {
    if errors.Is(err, ErrNotFound) {
        // Handle not found
    } else {
        // Handle other errors
    }
}

// Error wrapping and unwrapping
func processUser(id string) error {
    user, err := getUser(id)
    if err != nil {
        return fmt.Errorf("process user failed: %w", err)
    }
    // Process user
    return nil
}

// Unwrap errors
err := processUser("123")
if err != nil {
    var valErr *ValidationError
    if errors.As(err, &valErr) {
        fmt.Printf("Validation error: %s\n", valErr.Field)
    }
}

Modèles Universels

Modèle 1: Circuit Breaker

Prévenir les défaillances en cascade dans les systèmes distribués.

from enum import Enum
from datetime import datetime, timedelta
from typing import Callable, TypeVar

T = TypeVar('T')

class CircuitState(Enum):
    CLOSED = "closed"       # Normal operation
    OPEN = "open"          # Failing, reject requests
    HALF_OPEN = "half_open"  # Testing if recovered

class CircuitBreaker:
    def __init__(
        self,
        failure_threshold: int = 5,
        timeout: timedelta = timedelta(seconds=60),
        success_threshold: int = 2
    ):
        self.failure_threshold = failure_threshold
        self.timeout = timeout
        self.success_threshold = success_threshold
        self.failure_count = 0
        self.success_count = 0
        self.state = CircuitState.CLOSED
        self.last_failure_time = None

    def call(self, func: Callable[[], T]) -> T:
        if self.state == CircuitState.OPEN:
            if datetime.now() - self.last_failure_time > self.timeout:
                self.state = CircuitState.HALF_OPEN
                self.success_count = 0
            else:
                raise Exception("Circuit breaker is OPEN")

        try:
            result = func()
            self.on_success()
            return result
        except Exception as e:
            self.on_failure()
            raise

    def on_success(self):
        self.failure_count = 0
        if self.state == CircuitState.HALF_OPEN:
            self.success_count += 1
            if self.success_count >= self.success_threshold:
                self.state = CircuitState.CLOSED
                self.success_count = 0

    def on_failure(self):
        self.failure_count += 1
        self.last_failure_time = datetime.now()
        if self.failure_count >= self.failure_threshold:
            self.state = CircuitState.OPEN

# Usage
circuit_breaker = CircuitBreaker()

def fetch_data():
    return circuit_breaker.call(lambda: external_api.get_data())

Modèle 2: Agrégation d'Erreurs

Collecter plusieurs erreurs au lieu de s'arrêter à la première.

class ErrorCollector {
  private errors: Error[] = [];

  add(error: Error): void {
    this.errors.push(error);
  }

  hasErrors(): boolean {
    return this.errors.length > 0;
  }

  getErrors(): Error[] {
    return [...this.errors];
  }

  throw(): never {
    if (this.errors.length === 1) {
      throw this.errors[0];
    }
    throw new AggregateError(
      this.errors,
      `${this.errors.length} errors occurred`,
    );
  }
}

// Usage: Validate multiple fields
function validateUser(data: any): User {
  const errors = new ErrorCollector();

  if (!data.email) {
    errors.add(new ValidationError("Email is required"));
  } else if (!isValidEmail(data.email)) {
    errors.add(new ValidationError("Email is invalid"));
  }

  if (!data.name || data.name.length < 2) {
    errors.add(new ValidationError("Name must be at least 2 characters"));
  }

  if (!data.age || data.age < 18) {
    errors.add(new ValidationError("Age must be 18 or older"));
  }

  if (errors.hasErrors()) {
    errors.throw();
  }

  return data as User;
}

Modèle 3: Dégradation Gracieuse

Fournir une fonctionnalité de secours en cas d'erreur.

from typing import Optional, Callable, TypeVar

T = TypeVar('T')

def with_fallback(
    primary: Callable[[], T],
    fallback: Callable[[], T],
    log_error: bool = True
) -> T:
    """Try primary function, fall back to fallback on error."""
    try:
        return primary()
    except Exception as e:
        if log_error:
            logger.error(f"Primary function failed: {e}")
        return fallback()

# Usage
def get_user_profile(user_id: str) -> UserProfile:
    return with_fallback(
        primary=lambda: fetch_from_cache(user_id),
        fallback=lambda: fetch_from_database(user_id)
    )

# Multiple fallbacks
def get_exchange_rate(currency: str) -> float:
    return (
        try_function(lambda: api_provider_1.get_rate(currency))
        or try_function(lambda: api_provider_2.get_rate(currency))
        or try_function(lambda: cache.get_rate(currency))
        or DEFAULT_RATE
    )

def try_function(func: Callable[[], Optional[T]]) -> Optional[T]:
    try:
        return func()
    except Exception:
        return None

Bonnes Pratiques

  1. Échouer Rapidement: Valider l'entrée tôt, échouer rapidement
  2. Préserver le Contexte: Inclure les stack traces, métadonnées, timestamps
  3. Messages Significatifs: Expliquer ce qui s'est passé et comment le corriger
  4. Enregistrer Correctement: Erreur = enregistrer, échec attendu = ne pas spammer les logs
  5. Gérer au Bon Niveau: Capturer où vous pouvez gérer significativement
  6. Nettoyer les Ressources: Utiliser try-finally, gestionnaires de contexte, defer
  7. Ne Pas Ignorer les Erreurs: Enregistrer ou relancer, ne pas ignorer silencieusement
  8. Erreurs Typées: Utiliser des erreurs typées quand c'est possible
# Good error handling example
def process_order(order_id: str) -> Order:
    """Process order with comprehensive error handling."""
    try:
        # Validate input
        if not order_id:
            raise ValidationError("Order ID is required")

        # Fetch order
        order = db.get_order(order_id)
        if not order:
            raise NotFoundError("Order", order_id)

        # Process payment
        try:
            payment_result = payment_service.charge(order.total)
        except PaymentServiceError as e:
            # Log and wrap external service error
            logger.error(f"Payment failed for order {order_id}: {e}")
            raise ExternalServiceError(
                f"Payment processing failed",
                service="payment_service",
                details={"order_id": order_id, "amount": order.total}
            ) from e

        # Update order
        order.status = "completed"
        order.payment_id = payment_result.id
        db.save(order)

        return order

    except ApplicationError:
        # Re-raise known application errors
        raise
    except Exception as e:
        # Log unexpected errors
        logger.exception(f"Unexpected error processing order {order_id}")
        raise ApplicationError(
            "Order processing failed",
            code="INTERNAL_ERROR"
        ) from e

Pièges Courants

  • Capturer Trop Largement: except Exception cache les bugs
  • Blocs de Capture Vides: Ignorer silencieusement les erreurs
  • Enregistrer et Relancer: Crée des entrées de log dupliquées
  • Ne Pas Nettoyer: Oublier de fermer les fichiers, les connexions
  • Messages d'Erreur Pauvres: « Une erreur s'est produite » n'est pas utile
  • Retourner des Codes d'Erreur: Utiliser les exceptions ou les types Result
  • Ignorer les Erreurs Async: Rejets de promise non gérés

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