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Flask API endpoint that updates the content of a data section, setting both current_content and analysis_conclusions fields to the provided content value.

Purpose

This endpoint allows authenticated users to update the content of their data sections from the document view. It validates ownership, updates both the current_content and analysis_conclusions fields with the same content, and returns success/error responses. This is typically used when users edit data section content directly in the document interface.

Source Code

def update_data_section_content(section_id):
    """Update the content for a data section (from document view)"""
    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
    
    try:
        data = request.get_json()
        content = data.get('content', '')
        
        # Update both current_content and analysis_conclusions
        data_section.current_content = content
        data_section.analysis_conclusions = content
        
        success = data_section_service.update_data_section(data_section)
        
        if success:
            return jsonify({
                'success': True,
                'message': 'Content updated successfully'
            })
        else:
            return jsonify({'error': 'Failed to update content'}), 500
            
    except Exception as e:
        logger.error(f"Error updating conclusions: {e}")
        return jsonify({'error': str(e)}), 500

Parameters

Parameter Details

section_id: String identifier for the data section to be updated. This is passed as a URL path parameter. Must correspond to an existing DataSection in the database that belongs to the authenticated user.

Return Value

Returns a Flask JSON response tuple. On success: ({'success': True, 'message': 'Content updated successfully'}, 200). On not found/access denied: ({'error': 'Data section not found or access denied'}, 404). On failure: ({'error': 'Failed to update content'}, 500) or ({'error': <error_message>}, 500) if an exception occurs.

Dependencies

• flask
• logging

Required Imports

from flask import request, jsonify
import logging

Usage Example

# Client-side usage example (JavaScript fetch)
fetch('/api/data-sections/abc123/content', {
  method: 'PUT',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer <token>'
  },
  body: JSON.stringify({
    content: 'Updated analysis conclusions text here'
  })
})
.then(response => response.json())
.then(data => {
  if (data.success) {
    console.log('Content updated successfully');
  } else {
    console.error('Error:', data.error);
  }
});

# Server-side context (Flask app setup)
# app = Flask(__name__)
# data_section_service = DataSectionService()
# logger = logging.getLogger(__name__)
# The function is automatically called when PUT request is made to the route

Best Practices

• Always verify user ownership before allowing updates to prevent unauthorized access
• The function updates both current_content and analysis_conclusions to the same value - ensure this is the intended behavior for your use case
• Implement proper error logging to track update failures
• Ensure the require_auth decorator is properly configured to validate user sessions
• Consider adding input validation for the content field (e.g., length limits, sanitization)
• The function returns 404 for both 'not found' and 'access denied' cases - consider separating these for better error handling
• Wrap database operations in try-except blocks to handle potential database errors gracefully
• Consider adding rate limiting to prevent abuse of the update endpoint
• Validate that section_id is a valid format before querying the database

Tags

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