Function cleanup_memory

core/utils.py:568–609

Comprehensive memory cleanup function to reduce memory footprint Args: log_usage: Whether to log memory usage before and after cleanup force_collection: Whether to force garbage collection

(log_usage=False, force_collection=True)

def cleanup_memory(log_usage=False, force_collection=True):
    """
    Comprehensive memory cleanup function to reduce memory footprint

    Args:
        log_usage: Whether to log memory usage before and after cleanup
        force_collection: Whether to force garbage collection
    """
    logger.trace("Starting memory cleanup django memory cleanup")
    # Skip logging if log level is not set to debug or more verbose (like trace)
    current_log_level = logger.getEffectiveLevel()
    if not current_log_level <= logging.DEBUG:
        log_usage = False
    if log_usage:
        try:
            import psutil
            process = psutil.Process()
            before_mem = process.memory_info().rss / (1024 * 1024)
            logger.debug(f"Memory before cleanup: {before_mem:.2f} MB")
        except (ImportError, Exception) as e:
            logger.debug(f"Error getting memory usage: {e}")

    # Clear any object caches from Django ORM
    from django.db import connection, reset_queries
    reset_queries()

    # Force garbage collection
    if force_collection:
        # Run full collection
        gc.collect(generation=2)
        # Clear cyclic references
        gc.collect(generation=0)

    if log_usage:
        try:
            import psutil
            process = psutil.Process()
            after_mem = process.memory_info().rss / (1024 * 1024)
            logger.debug(f"Memory after cleanup: {after_mem:.2f} MB (change: {after_mem-before_mem:.2f} MB)")
        except (ImportError, Exception):
            pass
    logger.trace("Memory cleanup complete for django")


def spawn_memory_trim(close_connections=False):