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function init_text_section_chat

Maturity: 46

Flask API endpoint that initializes a chat session for a standalone text section, creating a mock chat session object for frontend compatibility after verifying user ownership.

File:
/tf/active/vicechatdev/vice_ai/new_app.py
Lines:
899 - 927
Complexity:
simple

Purpose

This endpoint serves as an initialization point for chat functionality on standalone text sections. It verifies that the requesting user owns the text section, then creates a mock chat session structure that the frontend can use to enable chat interactions. The mock session includes metadata like section_id, an empty messages array, and a flag indicating it's a standalone section (not part of a document).

Source Code

def init_text_section_chat(section_id):
    """Initialize chat for a standalone text section"""
    user_email = get_current_user()
    
    # Verify ownership
    text_section = text_section_service.get_text_section(section_id)
    if not text_section or text_section.owner != user_email:
        return jsonify({'error': 'Text section not found or access denied'}), 404
    
    try:
        # Create a mock chat session for frontend compatibility
        mock_session = {
            'id': f'text_section_{section_id}',
            'section_id': section_id,
            'document_id': None,
            'messages': [],
            'config': {},
            'is_standalone': True
        }
        
        return jsonify({
            'success': True,
            'chat_session': mock_session,
            'message': 'Chat session initialized for standalone text section'
        })
        
    except Exception as e:
        logger.error(f"Error initializing text section chat: {e}")
        return jsonify({'error': 'Failed to initialize chat session'}), 500

Parameters

Name Type Default Kind
section_id - - positional_or_keyword

Parameter Details

section_id: String identifier for the text section. Used to retrieve the text section from the database and verify ownership. Must correspond to an existing TextSection record in the database.

Return Value

Returns a Flask JSON response. On success (200): {'success': True, 'chat_session': {mock_session_object}, 'message': str}. On not found/access denied (404): {'error': 'Text section not found or access denied'}. On server error (500): {'error': 'Failed to initialize chat session'}. The mock_session object contains: id (string), section_id (string), document_id (None), messages (empty list), config (empty dict), is_standalone (True).

Dependencies

  • flask
  • logging

Required Imports

from flask import jsonify
import logging

Usage Example

# Assuming Flask app setup with authentication
# POST request to /api/text-sections/<section_id>/chat/init

import requests

# Example authenticated request
headers = {'Authorization': 'Bearer <token>'}
section_id = 'abc123'

response = requests.post(
    f'http://localhost:5000/api/text-sections/{section_id}/chat/init',
    headers=headers
)

if response.status_code == 200:
    data = response.json()
    chat_session = data['chat_session']
    print(f"Chat initialized: {chat_session['id']}")
    print(f"Is standalone: {chat_session['is_standalone']}")
else:
    print(f"Error: {response.json()['error']}")

Best Practices

  • Always ensure the require_auth decorator is properly configured to prevent unauthorized access
  • The function verifies ownership before creating the chat session to prevent unauthorized users from accessing other users' text sections
  • Error handling is implemented with try-except to catch unexpected failures and return appropriate HTTP status codes
  • The mock session structure should match the expected frontend interface to ensure compatibility
  • Consider implementing actual chat session persistence if the application requires chat history to be saved
  • The function returns a mock session rather than creating a database record, which may need to be changed for production use cases requiring persistence
  • Ensure text_section_service.get_text_section() properly handles invalid section_id values
  • Log errors with sufficient context for debugging production issues

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