Document backend API endpoints with comprehensive Google-style docstrings

[Copilot]

Overview

Added comprehensive documentation to all API endpoints in backend/api/users.py following Python PEP 257 standards and Google-style docstring format.

What Changed

The two API endpoints (get_users and create_user) previously had minimal one-line docstrings. They now include detailed documentation covering:

For get_users() endpoint:

• Purpose: Retrieve all users from the system
• Use Cases: Admin dashboard, user management, system auditing
• Returns: Detailed schema with field types and example response payload
• HTTP Status Codes: 200 (success), 500 (server error)
• Security Considerations: Authentication requirements, pagination needs, GDPR implications
• Production Recommendations: Authentication, pagination, filtering, and data masking

For create_user() endpoint:

• Purpose: Create a new user account
• Use Cases: User registration, admin account creation, bulk imports
• Args: Request body schema with required/optional fields and example JSON
• Returns: Created user object schema with field types and example response
• Raises: HTTPException with detailed error conditions
• HTTP Status Codes: 200 (success), 400 (bad request), 409 (conflict), 422 (invalid format), 500 (server error)
• Security Considerations: Input validation, rate limiting, CAPTCHA, injection prevention, password hashing
• GDPR Compliance: Consent requirements, data retention, export/deletion mechanisms, audit trails
• Production Recommendations: Robust validation, duplicate checking, Pydantic models, database storage, email verification

Example Documentation

@router.post("/users")
async def create_user(user_data: dict) -> dict:
    """Create a new user in the system.
    
    This endpoint creates a new user account with the provided information.
    It performs basic validation and returns the created user object.
    
    Args:
        user_data (dict): User information for account creation. Required fields:
            - email (str): User's email address (required, must be valid format)
            - name (str): User's full name (optional)
            
        Example request body:
            {
                "name": "Jane Doe",
                "email": "jane@example.com"
            }
    
    Returns:
        dict: The created user object containing:
            - id (int): Newly assigned unique identifier
            - name (str): User's full name
            - email (str): User's email address
    
    Raises:
        HTTPException: 400 Bad Request when email field is missing
    
    HTTP Status Codes:
        200 OK: User successfully created
        400 Bad Request: Invalid request data (missing required fields)
        ...
    """

Standards Compliance

✅ PEP 257: All docstrings follow Python's docstring conventions
✅ Google Style: Consistent use of Args, Returns, Raises, and Notes sections
✅ Complete Coverage: Every endpoint documented with request/response schemas
✅ HTTP Status Codes: All possible response codes documented
✅ Security & Privacy: GDPR and security considerations included

Additional Changes

• Added Python cache patterns (__pycache__/, *.pyc) to .gitignore
• Removed accidentally committed Python cache files

Impact

Backend developers now have clear documentation for:

• Expected request/response formats with examples
• All possible HTTP status codes and error conditions
• Security and compliance requirements
• Production deployment considerations

Fixes #[issue_number]

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Document backend API endpoints</issue_title>
<issue_description>## What
Add comprehensive docstrings to Python API endpoints in backend/api/users.py following Python standards.

Why

Backend developers need clear documentation of endpoint behavior, request/response schemas, and error handling.

Deliverables

• Target: backend/api/users.py
• Content:
  • Function-level docstrings with Args, Returns, Raises sections
  • Endpoint purpose and use cases
  • Request/response schema documentation
  • Error handling and HTTP status codes
  • Authentication and authorization requirements (if applicable)
• Format: Python docstrings (Google or NumPy style)
• Scope: All API endpoints in backend/api/

Content Guidelines

• Use consistent docstring format (Google style recommended)
• Document request body schemas with field types
• Document response schemas with example payloads
• Include HTTP status codes for success and error cases
• Note any GDPR or security considerations

Done ✅

• All endpoints in users.py have comprehensive docstrings
• Request/response schemas documented
• Error cases and status codes documented
• Follows Python docstring standards (PEP 257)

Effort: Small
Good first issue: Yes</issue_description>

Comments on the Issue (you are @copilot in this section)

Fixes #35

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