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Flask API endpoint that retrieves a specific data section by ID, ensuring the requesting user is the owner of the section.

Purpose

This endpoint provides authenticated access to data sections stored in the system. It validates user ownership before returning the section data, implementing access control to prevent unauthorized access to data sections. Used in applications where users need to retrieve their own data sections (e.g., datasets, data tables, or structured data) by unique identifier.

Source Code

def get_data_section(section_id):
    """Get a data section by ID"""
    user_email = get_current_user()
    
    data_section = data_section_service.get_data_section(section_id)
    if not data_section or data_section.owner != user_email:
        return jsonify({'error': 'Data section not found or access denied'}), 404
    
    return jsonify({
        'success': True,
        'section': data_section.to_dict()
    })

Parameters

Parameter Details

section_id: Unique identifier (string) for the data section to retrieve. This is passed as a URL path parameter in the route '/api/data-sections/<section_id>'. Expected to be a valid section ID that exists in the database.

Return Value

Returns a Flask JSON response. On success (200): {'success': True, 'section': <dict representation of DataSection>}. On failure (404): {'error': 'Data section not found or access denied'}. The section dictionary contains all attributes of the DataSection model as defined by its to_dict() method.

Dependencies

• flask
• models (custom module containing DataSection)
• services (custom module containing DataSectionService)
• auth.azure_auth (custom module for authentication)

Required Imports

from flask import jsonify
from models import DataSection
from services import DataSectionService
from auth.azure_auth import get_current_user (or equivalent authentication function)

Usage Example

# Assuming Flask app setup with authentication
# GET request to endpoint
import requests

# With authentication token/session
response = requests.get(
    'http://localhost:5000/api/data-sections/abc123',
    headers={'Authorization': 'Bearer <token>'},
    cookies={'session': '<session_cookie>'}
)

if response.status_code == 200:
    data = response.json()
    section = data['section']
    print(f"Section ID: {section['id']}")
    print(f"Section data: {section}")
else:
    error = response.json()
    print(f"Error: {error['error']}")

Best Practices

• Always ensure the require_auth decorator is applied to prevent unauthorized access
• The function implements ownership validation by comparing data_section.owner with user_email
• Returns 404 for both non-existent sections and unauthorized access to avoid information leakage
• Uses service layer (data_section_service) for data access, following separation of concerns
• Proper error handling with appropriate HTTP status codes
• Consider adding logging for security auditing of access attempts
• Validate section_id format before querying if performance is a concern
• Consider implementing rate limiting for this endpoint to prevent abuse

Tags

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