release
Releases all resources and performs cleanup when the container is no longer needed.
This method implements comprehensive resource cleanup and graceful shutdown for the KARL container. It should be called when the container will no longer be used to ensure proper resource management, prevent memory leaks, and maintain system performance.
Resource cleanup scope:
Learning engine: Stop training processes and release model resources
Data storage: Close database connections and flush pending operations
Data source: Unsubscribe from event streams and stop data collection
Background tasks: Cancel all coroutines and async operations
System resources: Release memory allocations, file handles, and cached data
Shutdown sequence and coordination:
Graceful shutdown: Allow current operations to complete when possible
State persistence: Save current state before releasing resources
Task cancellation: Cancel background coroutines and async operations
Component cleanup: Release resources held by all container components
Final validation: Verify all resources have been properly released
Data preservation:
Automatic state save before resource release
Completion of in-progress learning operations when feasible
Proper closure of data storage to prevent corruption
Preservation of user preferences and customization settings
Error handling during cleanup:
Continue cleanup even if individual components fail to release properly
Log cleanup failures for debugging and troubleshooting
Prevent cleanup errors from propagating to calling code
Ensure partial cleanup doesn't leave system in inconsistent state
Thread safety and synchronization:
Safe to call concurrently with other container operations
Coordinated shutdown that prevents new operations during cleanup
Proper synchronization with ongoing background tasks
Prevention of resource access after release completion
Performance considerations:
Optimize cleanup sequence for fastest shutdown time
Balance thoroughness with shutdown speed requirements
Support forced shutdown for emergency scenarios
Monitor cleanup progress for long-running shutdown operations
See also
for container setup and resource allocation
for manual state persistence before shutdown
Throws
if critical cleanup operations cannot be completed
if final state save operations fail