Error Handling Strategies

Purpose

Implement robust error handling that gracefully manages failures, provides clear feedback, and maintains system stability.

When to Use

• •Writing any code that can fail
• •Handling external API calls
• •Processing user input
• •Managing file I/O operations
• •Dealing with network requests

Key Capabilities

1. •Error Detection - Identify potential failure points
2. •Error Recovery - Implement fallback strategies
3. •Error Communication - Provide clear, actionable messages

Approach

1. •Identify what can go wrong (invalid input, network failure, etc.)
2. •Validate inputs before processing
3. •Use try-catch or error returns appropriately
4. •Provide context in error messages
5. •Log errors with sufficient debugging information
6. •Implement retry logic for transient failures

Example

Context: File reading operation

def read_config(filepath):
    try:
        with open(filepath, 'r') as f:
            return json.load(f)
    except FileNotFoundError:
        logger.error(f"Config file not found: {filepath}")
        return get_default_config()
    except json.JSONDecodeError as e:
        logger.error(f"Invalid JSON in {filepath}: {e}")
        raise ConfigurationError(f"Config file is malformed at line {e.lineno}")
    except PermissionError:
        logger.error(f"Cannot read {filepath}: Permission denied")
        raise ConfigurationError(f"Insufficient permissions for {filepath}")

Best Practices

• •✅ Fail fast for programming errors
• •✅ Recover gracefully from external failures
• •✅ Include context in error messages
• •❌ Avoid: Silent failures or generic error messages