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function create_sample_data

Maturity: 46

Flask API endpoint that creates sample data for testing purposes by invoking the LegacySystemMigrator's create_sample_data method and returns the generated data as JSON.

File:
/tf/active/vicechatdev/vice_ai/new_app.py
Lines:
1812 - 1822
Complexity:
simple

Purpose

This endpoint is designed to populate a database with sample/test data during development or testing phases. It's protected by authentication and provides a convenient way to initialize the system with mock data without manual data entry. The endpoint is typically used during setup or when resetting a test environment.

Source Code

def create_sample_data():
    """Create sample data for testing"""
    try:
        migrator = LegacySystemMigrator('.', DATABASE_PATH)
        sample_data = migrator.create_sample_data()
        
        return jsonify(sample_data)
        
    except Exception as e:
        logger.error(f"Sample data creation error: {e}")
        return jsonify({'error': str(e)}), 500

Return Value

Returns a Flask JSON response. On success, returns the sample data dictionary created by the migrator (status code 200). On failure, returns a JSON object with an 'error' key containing the error message string and HTTP status code 500.

Dependencies

  • flask
  • logging
  • migration

Required Imports

from flask import jsonify
import logging
from migration import LegacySystemMigrator

Usage Example

# This is a Flask route handler, typically called via HTTP request
# Example HTTP request:
# POST /api/setup/sample-data
# Headers: Authorization: Bearer <token>

# Example programmatic usage (within Flask app context):
from flask import Flask
from migration import LegacySystemMigrator
import logging

app = Flask(__name__)
logger = logging.getLogger(__name__)
DATABASE_PATH = './test_database.db'

@app.route('/api/setup/sample-data', methods=['POST'])
def create_sample_data():
    try:
        migrator = LegacySystemMigrator('.', DATABASE_PATH)
        sample_data = migrator.create_sample_data()
        return jsonify(sample_data)
    except Exception as e:
        logger.error(f"Sample data creation error: {e}")
        return jsonify({'error': str(e)}), 500

# Client-side usage:
# import requests
# response = requests.post('http://localhost:5000/api/setup/sample-data',
#                         headers={'Authorization': 'Bearer <token>'})
# data = response.json()

Best Practices

  • This endpoint should only be used in development/testing environments, never in production
  • Ensure proper authentication is in place via the require_auth decorator to prevent unauthorized data creation
  • The DATABASE_PATH should point to a test database, not production data
  • Consider adding additional validation to prevent accidental execution in production environments
  • The endpoint returns all sample data in the response, which could be large - consider pagination or limiting response size
  • Error messages are logged and returned to the client - ensure sensitive information is not exposed in error messages
  • Consider adding idempotency checks to prevent duplicate sample data creation
  • The function catches all exceptions broadly - consider more specific exception handling for better error diagnosis

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