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10-code-organization.py
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2280 lines (1677 loc) · 67.9 KB
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"""Question: Demonstrate proper code organization principles and best practices.
Create a well-organized Python module that showcases proper code structure,
imports, documentation, and organization patterns.
Requirements:
1. Proper import organization and structure
2. Module-level documentation and constants
3. Class organization with proper method ordering
4. Function organization and grouping
5. Proper use of private/public interfaces
6. Documentation standards and type hints
7. Error handling organization
8. Testing structure organization
Example usage:
from user_manager import UserManager
manager = UserManager()
user = manager.create_user("john@example.com", "John Doe")
"""
# LEARNING CHALLENGE
#
# Before looking at any solution below, please try to solve this yourself first!
#
# Tips for success:
# - Read the question carefully
# - Think about how to organize code logically
# - Start with a simple implementation
# - Focus on readability and maintainability
# - Don't worry if it's not perfect - learning is a process!
#
# Remember: The best way to learn programming is by doing, not by reading solutions!
#
# Take your time, experiment, and enjoy the learning process!
# Try to implement your solution here:
# (Write your code below this line)
# HINT SECTION (Only look if you're really stuck!)
#
# Think about:
# - How should imports be organized?
# - What makes code easy to read and maintain?
# - How should classes and functions be structured?
# - What documentation is needed?
#
# Remember: Start simple and build up complexity gradually!
# ===============================================================================
# STEP-BY-STEP SOLUTION
# ===============================================================================
#
# CLASSROOM-STYLE WALKTHROUGH
#
# Let's solve this problem step by step, just like in a programming class!
# Each step builds upon the previous one, so you can follow along and understand
# the complete thought process.
#
# ===============================================================================
# Step 1: Import organization and module documentation
# ===============================================================================
# Explanation:
# Proper import organization is crucial for code readability and maintainability.
# We organize imports in a specific order: standard library, third-party, local.
# Standard library imports (alphabetical order)
import logging
import os
import sys
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Union
# Third-party imports (alphabetical order)
# import requests # Example third-party import
# import pandas as pd # Example third-party import
# Local application imports
# from .config import settings # Example local import
# from .exceptions import UserError # Example local import
"""
User Management System
This module provides a comprehensive user management system with proper
code organization, documentation, and best practices.
Author: Python Best Practices Team
Version: 1.0.0
Created: 2025-01-01
Example:
Basic usage of the user management system:
>>> from user_manager import UserManager
>>> manager = UserManager()
>>> user = manager.create_user("john@example.com", "John Doe")
>>> print(user.name)
John Doe
"""
# Module-level constants (UPPER_CASE naming)
DEFAULT_USER_ROLE = "user"
MAX_USERNAME_LENGTH = 50
MIN_PASSWORD_LENGTH = 8
VALID_EMAIL_DOMAINS = ["gmail.com", "yahoo.com", "company.com"]
# Module-level configuration
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# What we accomplished in this step:
# - Organized imports in proper order (standard, third-party, local)
# - Added comprehensive module documentation
# - Defined module-level constants with proper naming
# - Set up logging configuration
# Step 2: Custom exceptions and error handling organization
# ===============================================================================
# Explanation:
# Proper exception organization helps with error handling and debugging.
# We define custom exceptions at the module level, organized by hierarchy.
# Standard library imports (alphabetical order)
import logging
import os
import sys
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Union
# Third-party imports (alphabetical order)
# import requests # Example third-party import
# import pandas as pd # Example third-party import
# Local application imports
# from .config import settings # Example local import
# from .exceptions import UserError # Example local import
"""
User Management System
This module provides a comprehensive user management system with proper
code organization, documentation, and best practices.
Author: Python Best Practices Team
Version: 1.0.0
Created: 2025-01-01
Example:
Basic usage of the user management system:
>>> from user_manager import UserManager
>>> manager = UserManager()
>>> user = manager.create_user("john@example.com", "John Doe")
>>> print(user.name)
John Doe
"""
# Module-level constants (UPPER_CASE naming)
DEFAULT_USER_ROLE = "user"
MAX_USERNAME_LENGTH = 50
MIN_PASSWORD_LENGTH = 8
VALID_EMAIL_DOMAINS = ["gmail.com", "yahoo.com", "company.com"]
# Module-level configuration
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Custom Exception Classes (organized hierarchically)
class UserManagementError(Exception):
"""Base exception for user management operations."""
def __init__(self, message: str, error_code: Optional[str] = None):
"""Initialize the exception with message and optional error code.
Args:
message: Human-readable error message
error_code: Optional error code for programmatic handling
"""
super().__init__(message)
self.message = message
self.error_code = error_code
self.timestamp = datetime.now()
class ValidationError(UserManagementError):
"""Raised when user input validation fails."""
pass
class UserNotFoundError(UserManagementError):
"""Raised when a requested user cannot be found."""
pass
class DuplicateUserError(UserManagementError):
"""Raised when attempting to create a user that already exists."""
pass
class AuthenticationError(UserManagementError):
"""Raised when user authentication fails."""
pass
# What we accomplished in this step:
# - Created hierarchical custom exception classes
# - Added proper exception documentation
# - Included error codes and timestamps for better debugging
# - Organized exceptions by their purpose and relationship
# Step 3: Utility functions and helper functions organization
# ===============================================================================
# Explanation:
# Utility functions should be organized logically and placed before classes.
# Group related functions together and use clear, descriptive names.
# Standard library imports (alphabetical order)
import logging
import os
import re
import sys
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Union
# Third-party imports (alphabetical order)
# import requests # Example third-party import
# import pandas as pd # Example third-party import
# Local application imports
# from .config import settings # Example local import
# from .exceptions import UserError # Example local import
"""
User Management System
This module provides a comprehensive user management system with proper
code organization, documentation, and best practices.
Author: Python Best Practices Team
Version: 1.0.0
Created: 2025-01-01
Example:
Basic usage of the user management system:
>>> from user_manager import UserManager
>>> manager = UserManager()
>>> user = manager.create_user("john@example.com", "John Doe")
>>> print(user.name)
John Doe
"""
# Module-level constants (UPPER_CASE naming)
DEFAULT_USER_ROLE = "user"
MAX_USERNAME_LENGTH = 50
MIN_PASSWORD_LENGTH = 8
VALID_EMAIL_DOMAINS = ["gmail.com", "yahoo.com", "company.com"]
# Module-level configuration
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Custom Exception Classes (organized hierarchically)
class UserManagementError(Exception):
"""Base exception for user management operations."""
def __init__(self, message: str, error_code: Optional[str] = None):
"""Initialize the exception with message and optional error code.
Args:
message: Human-readable error message
error_code: Optional error code for programmatic handling
"""
super().__init__(message)
self.message = message
self.error_code = error_code
self.timestamp = datetime.now()
class ValidationError(UserManagementError):
"""Raised when user input validation fails."""
pass
class UserNotFoundError(UserManagementError):
"""Raised when a requested user cannot be found."""
pass
class DuplicateUserError(UserManagementError):
"""Raised when attempting to create a user that already exists."""
pass
class AuthenticationError(UserManagementError):
"""Raised when user authentication fails."""
pass
# Validation Utility Functions
def validate_email(email: str) -> bool:
"""Validate email address format and domain.
Args:
email: Email address to validate
Returns:
True if email is valid, False otherwise
Raises:
ValidationError: If email format is invalid
"""
if not email or not isinstance(email, str):
raise ValidationError("Email must be a non-empty string")
# Basic email regex pattern
email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
if not re.match(email_pattern, email):
raise ValidationError(f"Invalid email format: {email}")
# Check domain whitelist
domain = email.split('@')[1].lower()
if domain not in VALID_EMAIL_DOMAINS:
raise ValidationError(f"Email domain not allowed: {domain}")
return True
def validate_password(password: str) -> bool:
"""Validate password strength requirements.
Args:
password: Password to validate
Returns:
True if password meets requirements
Raises:
ValidationError: If password doesn't meet requirements
"""
if not password or not isinstance(password, str):
raise ValidationError("Password must be a non-empty string")
if len(password) < MIN_PASSWORD_LENGTH:
raise ValidationError(f"Password must be at least {MIN_PASSWORD_LENGTH} characters")
# Check for at least one uppercase, lowercase, and digit
if not re.search(r'[A-Z]', password):
raise ValidationError("Password must contain at least one uppercase letter")
if not re.search(r'[a-z]', password):
raise ValidationError("Password must contain at least one lowercase letter")
if not re.search(r'\d', password):
raise ValidationError("Password must contain at least one digit")
return True
def sanitize_username(username: str) -> str:
"""Sanitize and normalize username.
Args:
username: Raw username input
Returns:
Sanitized username
Raises:
ValidationError: If username is invalid
"""
if not username or not isinstance(username, str):
raise ValidationError("Username must be a non-empty string")
# Remove leading/trailing whitespace and convert to lowercase
sanitized = username.strip().lower()
# Check length
if len(sanitized) > MAX_USERNAME_LENGTH:
raise ValidationError(f"Username too long (max {MAX_USERNAME_LENGTH} characters)")
# Check for valid characters (alphanumeric and underscore only)
if not re.match(r'^[a-zA-Z0-9_]+$', sanitized):
raise ValidationError("Username can only contain letters, numbers, and underscores")
return sanitized
# Utility Functions for Data Processing
def generate_user_id() -> str:
"""Generate a unique user ID.
Returns:
Unique user identifier string
"""
import uuid
return str(uuid.uuid4())
def format_timestamp(dt: datetime) -> str:
"""Format datetime for consistent display.
Args:
dt: Datetime object to format
Returns:
Formatted datetime string
"""
return dt.strftime("%Y-%m-%d %H:%M:%S UTC")
def _hash_password(password: str) -> str:
"""Hash password for secure storage (private function).
Args:
password: Plain text password
Returns:
Hashed password string
Note:
This is a simplified example. In production, use proper
password hashing libraries like bcrypt or argon2.
"""
import hashlib
return hashlib.sha256(password.encode()).hexdigest()
# What we accomplished in this step:
# - Organized utility functions by purpose (validation, data processing)
# - Added comprehensive documentation with type hints
# - Used proper naming conventions (public vs private functions)
# - Implemented proper error handling with custom exceptions
# - Grouped related functionality together
# Step 4: Data classes and model organization
# ===============================================================================
# Explanation:
# Data classes should be organized before business logic classes.
# Use proper encapsulation and provide clean interfaces.
# Standard library imports (alphabetical order)
import logging
import os
import re
import sys
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Union
# Third-party imports (alphabetical order)
# import requests # Example third-party import
# import pandas as pd # Example third-party import
# Local application imports
# from .config import settings # Example local import
# from .exceptions import UserError # Example local import
"""
User Management System
This module provides a comprehensive user management system with proper
code organization, documentation, and best practices.
Author: Python Best Practices Team
Version: 1.0.0
Created: 2025-01-01
Example:
Basic usage of the user management system:
>>> from user_manager import UserManager
>>> manager = UserManager()
>>> user = manager.create_user("john@example.com", "John Doe")
>>> print(user.name)
John Doe
"""
# Module-level constants (UPPER_CASE naming)
DEFAULT_USER_ROLE = "user"
MAX_USERNAME_LENGTH = 50
MIN_PASSWORD_LENGTH = 8
VALID_EMAIL_DOMAINS = ["gmail.com", "yahoo.com", "company.com"]
# Module-level configuration
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Custom Exception Classes (organized hierarchically)
class UserManagementError(Exception):
"""Base exception for user management operations."""
def __init__(self, message: str, error_code: Optional[str] = None):
"""Initialize the exception with message and optional error code.
Args:
message: Human-readable error message
error_code: Optional error code for programmatic handling
"""
super().__init__(message)
self.message = message
self.error_code = error_code
self.timestamp = datetime.now()
class ValidationError(UserManagementError):
"""Raised when user input validation fails."""
pass
class UserNotFoundError(UserManagementError):
"""Raised when a requested user cannot be found."""
pass
class DuplicateUserError(UserManagementError):
"""Raised when attempting to create a user that already exists."""
pass
class AuthenticationError(UserManagementError):
"""Raised when user authentication fails."""
pass
# Validation Utility Functions
def validate_email(email: str) -> bool:
"""Validate email address format and domain.
Args:
email: Email address to validate
Returns:
True if email is valid, False otherwise
Raises:
ValidationError: If email format is invalid
"""
if not email or not isinstance(email, str):
raise ValidationError("Email must be a non-empty string")
# Basic email regex pattern
email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
if not re.match(email_pattern, email):
raise ValidationError(f"Invalid email format: {email}")
# Check domain whitelist
domain = email.split('@')[1].lower()
if domain not in VALID_EMAIL_DOMAINS:
raise ValidationError(f"Email domain not allowed: {domain}")
return True
def validate_password(password: str) -> bool:
"""Validate password strength requirements.
Args:
password: Password to validate
Returns:
True if password meets requirements
Raises:
ValidationError: If password doesn't meet requirements
"""
if not password or not isinstance(password, str):
raise ValidationError("Password must be a non-empty string")
if len(password) < MIN_PASSWORD_LENGTH:
raise ValidationError(f"Password must be at least {MIN_PASSWORD_LENGTH} characters")
# Check for at least one uppercase, lowercase, and digit
if not re.search(r'[A-Z]', password):
raise ValidationError("Password must contain at least one uppercase letter")
if not re.search(r'[a-z]', password):
raise ValidationError("Password must contain at least one lowercase letter")
if not re.search(r'\d', password):
raise ValidationError("Password must contain at least one digit")
return True
def sanitize_username(username: str) -> str:
"""Sanitize and normalize username.
Args:
username: Raw username input
Returns:
Sanitized username
Raises:
ValidationError: If username is invalid
"""
if not username or not isinstance(username, str):
raise ValidationError("Username must be a non-empty string")
# Remove leading/trailing whitespace and convert to lowercase
sanitized = username.strip().lower()
# Check length
if len(sanitized) > MAX_USERNAME_LENGTH:
raise ValidationError(f"Username too long (max {MAX_USERNAME_LENGTH} characters)")
# Check for valid characters (alphanumeric and underscore only)
if not re.match(r'^[a-zA-Z0-9_]+$', sanitized):
raise ValidationError("Username can only contain letters, numbers, and underscores")
return sanitized
# Utility Functions for Data Processing
def generate_user_id() -> str:
"""Generate a unique user ID.
Returns:
Unique user identifier string
"""
import uuid
return str(uuid.uuid4())
def format_timestamp(dt: datetime) -> str:
"""Format datetime for consistent display.
Args:
dt: Datetime object to format
Returns:
Formatted datetime string
"""
return dt.strftime("%Y-%m-%d %H:%M:%S UTC")
def _hash_password(password: str) -> str:
"""Hash password for secure storage (private function).
Args:
password: Plain text password
Returns:
Hashed password string
Note:
This is a simplified example. In production, use proper
password hashing libraries like bcrypt or argon2.
"""
import hashlib
return hashlib.sha256(password.encode()).hexdigest()
# Data Classes and Models
@dataclass
class UserProfile:
"""User profile data model.
Represents user profile information with proper encapsulation
and validation.
"""
user_id: str
email: str
username: str
full_name: str
role: str = DEFAULT_USER_ROLE
created_at: datetime = field(default_factory=datetime.now)
last_login: Optional[datetime] = None
is_active: bool = True
metadata: Dict[str, str] = field(default_factory=dict)
def __post_init__(self):
"""Validate data after initialization."""
validate_email(self.email)
self.username = sanitize_username(self.username)
if not self.full_name or not self.full_name.strip():
raise ValidationError("Full name cannot be empty")
self.full_name = self.full_name.strip()
@property
def display_name(self) -> str:
"""Get user's display name."""
return self.full_name or self.username
@property
def is_admin(self) -> bool:
"""Check if user has admin role."""
return self.role.lower() == "admin"
def update_last_login(self) -> None:
"""Update the last login timestamp."""
self.last_login = datetime.now()
logger.info(f"Updated last login for user {self.username}")
def deactivate(self) -> None:
"""Deactivate the user account."""
self.is_active = False
logger.info(f"Deactivated user account: {self.username}")
def activate(self) -> None:
"""Activate the user account."""
self.is_active = True
logger.info(f"Activated user account: {self.username}")
def to_dict(self) -> Dict[str, Union[str, bool, datetime, None]]:
"""Convert user profile to dictionary representation.
Returns:
Dictionary representation of user profile
"""
return {
'user_id': self.user_id,
'email': self.email,
'username': self.username,
'full_name': self.full_name,
'role': self.role,
'created_at': self.created_at.isoformat(),
'last_login': self.last_login.isoformat() if self.last_login else None,
'is_active': self.is_active,
'metadata': self.metadata.copy()
}
def __str__(self) -> str:
"""String representation of user profile."""
status = "Active" if self.is_active else "Inactive"
return f"User({self.username}, {self.email}, {status})"
@dataclass
class UserCredentials:
"""User authentication credentials (private data).
Handles password storage and authentication securely.
"""
user_id: str
password_hash: str
salt: str = field(default_factory=lambda: os.urandom(32).hex())
created_at: datetime = field(default_factory=datetime.now)
last_password_change: datetime = field(default_factory=datetime.now)
@classmethod
def create_from_password(cls, user_id: str, password: str) -> 'UserCredentials':
"""Create credentials from plain text password.
Args:
user_id: User identifier
password: Plain text password
Returns:
UserCredentials instance with hashed password
"""
validate_password(password)
password_hash = _hash_password(password)
return cls(
user_id=user_id,
password_hash=password_hash
)
def verify_password(self, password: str) -> bool:
"""Verify password against stored hash.
Args:
password: Plain text password to verify
Returns:
True if password matches, False otherwise
"""
return _hash_password(password) == self.password_hash
def update_password(self, new_password: str) -> None:
"""Update user password.
Args:
new_password: New plain text password
"""
validate_password(new_password)
self.password_hash = _hash_password(new_password)
self.last_password_change = datetime.now()
logger.info(f"Password updated for user {self.user_id}")
# What we accomplished in this step:
# - Created well-structured data classes with proper validation
# - Used dataclasses for clean, readable code
# - Implemented proper encapsulation with private and public methods
# - Added comprehensive documentation and type hints
# - Separated concerns (profile vs credentials)
# - Included proper logging and error handling
# Step 5: Main business logic class with proper organization
# ===============================================================================
# Explanation:
# Business logic classes should follow a consistent organization pattern:
# 1. Class docstring and type hints
# 2. Class attributes and __init__
# 3. Properties
# 4. Public methods (organized by functionality)
# 5. Private methods
# 6. Special methods (__str__, __repr__, etc.)
# Standard library imports (alphabetical order)
import logging
import os
import re
import sys
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from typing import Dict, List, Optional, Union
# Third-party imports (alphabetical order)
# import requests # Example third-party import
# import pandas as pd # Example third-party import
# Local application imports
# from .config import settings # Example local import
# from .exceptions import UserError # Example local import
"""
User Management System
This module provides a comprehensive user management system with proper
code organization, documentation, and best practices.
Author: Python Best Practices Team
Version: 1.0.0
Created: 2025-01-01
Example:
Basic usage of the user management system:
>>> from user_manager import UserManager
>>> manager = UserManager()
>>> user = manager.create_user("john@example.com", "John Doe")
>>> print(user.name)
John Doe
"""
# Module-level constants (UPPER_CASE naming)
DEFAULT_USER_ROLE = "user"
MAX_USERNAME_LENGTH = 50
MIN_PASSWORD_LENGTH = 8
VALID_EMAIL_DOMAINS = ["gmail.com", "yahoo.com", "company.com"]
# Module-level configuration
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
# Custom Exception Classes (organized hierarchically)
class UserManagementError(Exception):
"""Base exception for user management operations."""
def __init__(self, message: str, error_code: Optional[str] = None):
"""Initialize the exception with message and optional error code.
Args:
message: Human-readable error message
error_code: Optional error code for programmatic handling
"""
super().__init__(message)
self.message = message
self.error_code = error_code
self.timestamp = datetime.now()
class ValidationError(UserManagementError):
"""Raised when user input validation fails."""
pass
class UserNotFoundError(UserManagementError):
"""Raised when a requested user cannot be found."""
pass
class DuplicateUserError(UserManagementError):
"""Raised when attempting to create a user that already exists."""
pass
class AuthenticationError(UserManagementError):
"""Raised when user authentication fails."""
pass
# Validation Utility Functions
def validate_email(email: str) -> bool:
"""Validate email address format and domain.
Args:
email: Email address to validate
Returns:
True if email is valid, False otherwise
Raises:
ValidationError: If email format is invalid
"""
if not email or not isinstance(email, str):
raise ValidationError("Email must be a non-empty string")
# Basic email regex pattern
email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
if not re.match(email_pattern, email):
raise ValidationError(f"Invalid email format: {email}")
# Check domain whitelist
domain = email.split('@')[1].lower()
if domain not in VALID_EMAIL_DOMAINS:
raise ValidationError(f"Email domain not allowed: {domain}")
return True
def validate_password(password: str) -> bool:
"""Validate password strength requirements.
Args:
password: Password to validate
Returns:
True if password meets requirements
Raises:
ValidationError: If password doesn't meet requirements
"""
if not password or not isinstance(password, str):
raise ValidationError("Password must be a non-empty string")
if len(password) < MIN_PASSWORD_LENGTH:
raise ValidationError(f"Password must be at least {MIN_PASSWORD_LENGTH} characters")