function migrate_audit_trail
Migrates existing audit events from a legacy format to a new AuditTrail structure in a Neo4j database, returning migration statistics.
/tf/active/vicechatdev/CDocs/db/db_operations.py
1072 - 1096
moderate
Purpose
This function serves as a database migration utility to transform audit event data into a new schema structure. It's typically used during system upgrades or schema changes to ensure audit trail data remains accessible and conforms to the updated AuditTrail structure. The function handles the migration process safely with error handling and logging, making it suitable for production database migrations.
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
neo4jCDocs.dbCDocs.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__)
logger.setLevel(logging.INFO)
handler = logging.StreamHandler()
logger.addHandler(handler)
# Ensure CDocs is configured with database connection
# (typically done via environment variables or config)
# Run the migration
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 database backups are created before running this migration function
- The function uses lazy imports to avoid circular dependencies and reduce initial load time
- Always check the 'success' field in the returned dictionary before assuming migration completed
- The function logs errors but does not raise exceptions, making it safe for use in automated scripts
- Consider running this migration during low-traffic periods as it may lock database resources
- The logger variable must be defined in the module scope before calling this function
- Test the migration on a development/staging database before running in production
Tags
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