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function migrate_audit_trail_v1

Maturity: 46

Migrates existing audit events from a legacy format to a new AuditTrail structure in a Neo4j database, returning migration statistics.

File:
/tf/active/vicechatdev/CDocs single class/db/db_operations.py
Lines:
977 - 1001
Complexity:
moderate

Purpose

This function serves as a database migration utility for upgrading audit event data structures. It retrieves a database driver, executes the migration process through the schema_manager module, and provides detailed logging and error handling. Used during system upgrades or schema changes to ensure audit trail data integrity and compatibility with new data models.

Source Code

def migrate_audit_trail():
    """
    Migrate existing audit events to the new AuditTrail structure.
    
    Returns
    -------
    dict
        Migration results including number of events migrated
    """
    try:
        from CDocs.db import get_driver
        from CDocs.db.schema_manager import migrate_audit_events
        
        driver = get_driver()
        result = migrate_audit_events(driver)
        
        logger.info(f"Audit trail migration: {result['message']}")
        return result
    except Exception as e:
        logger.error(f"Error running audit trail migration: {e}")
        return {
            "success": False,
            "message": f"Error running audit trail migration: {str(e)}",
            "events_migrated": 0
        }

Return Value

Returns a dictionary containing migration results with keys: 'success' (bool indicating if migration succeeded), 'message' (str describing the outcome), and 'events_migrated' (int count of successfully migrated events). On error, returns a dict with success=False and events_migrated=0.

Dependencies

  • neo4j
  • CDocs.db
  • CDocs.db.schema_manager

Required Imports

import logging

Conditional/Optional Imports

These imports are only needed under specific conditions:

from CDocs.db import get_driver

Condition: imported inside function during execution, required for database connection

Required (conditional) 
from CDocs.db.schema_manager import migrate_audit_events

Condition: imported inside function during execution, required for performing the actual migration

Required (conditional)

Usage Example

import logging

# Setup logger (required in module scope)
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)

# Ensure CDocs database is configured before calling
# This typically requires environment variables like:
# NEO4J_URI, NEO4J_USER, NEO4J_PASSWORD

result = migrate_audit_trail()

if result['success']:
    print(f"Migration successful: {result['message']}")
    print(f"Events migrated: {result['events_migrated']}")
else:
    print(f"Migration failed: {result['message']}")

Best Practices

  • Ensure a logger instance is configured in the module scope before calling this function
  • Verify Neo4j database connection is properly configured and accessible
  • Run this migration during maintenance windows or low-traffic periods to avoid performance impact
  • Always check the 'success' field in the returned dictionary before assuming migration completed
  • Consider backing up the database before running migrations
  • Review logs after migration to verify all events were migrated successfully
  • This function should typically be run once during system upgrades; running multiple times should be idempotent but verify with the migrate_audit_events implementation

Tags

database migration audit-trail neo4j schema-migration data-migration logging error-handling

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