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Flask API endpoint that retrieves all data sections associated with a specific user, enforcing access control to ensure users can only access their own data sections.

Purpose

This endpoint serves as a secure API route for fetching user-specific data sections. It implements authentication and authorization checks to prevent unauthorized access, retrieves data sections through a service layer, and returns them in JSON format. It's designed for use in a multi-user application where data isolation is critical.

Source Code

def get_user_data_sections(user_email):
    """Get all data sections for a user"""
    current_user = get_current_user()
    
    # Users can only access their own data sections
    if current_user != user_email:
        return jsonify({'error': 'Access denied'}), 403
    
    try:
        data_sections = data_section_service.get_user_data_sections(user_email)
        return jsonify({
            'success': True,
            'sections': [section.to_dict() for section in data_sections]
        })
        
    except Exception as e:
        logger.error(f"Error getting user data sections: {e}")
        return jsonify({'error': str(e)}), 500

Parameters

Parameter Details

user_email: String representing the email address of the user whose data sections are being requested. This parameter is extracted from the URL path and used both for authorization checks and to query the data section service. Must match the authenticated user's email to pass authorization.

Return Value

Returns a Flask JSON response tuple. On success (200): {'success': True, 'sections': [list of dictionaries representing data sections]}. On authorization failure (403): {'error': 'Access denied'}. On server error (500): {'error': error message string}. Each section in the success response is converted to a dictionary via the to_dict() method.

Dependencies

• flask
• logging

Required Imports

from flask import jsonify
import logging

Usage Example

# Assuming Flask app setup with authentication
# Client-side request:
import requests

headers = {'Authorization': 'Bearer <token>'}
response = requests.get(
    'https://api.example.com/api/users/user@example.com/data-sections',
    headers=headers
)

if response.status_code == 200:
    data = response.json()
    sections = data['sections']
    for section in sections:
        print(f"Section: {section}")
elif response.status_code == 403:
    print('Access denied')
else:
    print(f"Error: {response.json()['error']}")

Best Practices

• Always ensure the require_auth decorator is applied to prevent unauthenticated access
• The function enforces user-level authorization by comparing current_user with user_email parameter
• Error handling is implemented with try-except to catch service layer exceptions
• All errors are logged before returning error responses for debugging purposes
• Returns appropriate HTTP status codes (403 for forbidden, 500 for server errors)
• Uses service layer pattern (data_section_service) for separation of concerns
• Assumes DataSection objects have a to_dict() method for serialization
• The endpoint follows RESTful conventions with GET method for retrieval
• Consider implementing rate limiting for production use
• Ensure get_current_user() properly validates and returns authenticated user identity

Tags

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