glon 0.1.13

Python package for garbage collection utilities and memory management

glon

Python package for garbage collection utilities and memory management.

Overview

The glon package provides comprehensive tools and utilities for working with Python's garbage collector, memory profiling, and cleanup operations. It offers enhanced garbage collection control, memory monitoring, and debugging capabilities.

Features

• Enhanced Garbage Collection: Control and monitor Python's garbage collector with detailed statistics
• Memory Profiling: Track memory usage over time and analyze memory patterns
• Object Tracking: Monitor specific objects using weak references
• Reference Cycle Detection: Find and analyze reference cycles in your code
• Memory Analysis: Comprehensive memory usage analysis and reporting
• Utility Functions: Common garbage collection and memory management tasks

Installation

pip install glon

Development Installation

git clone https://github.com/tom-sapletta/glon.git
cd glon
pip install -e ".[dev]"

Quick Start

Basic Garbage Collection Control

from glon import GarbageCollector

# Create a garbage collector instance
gc_manager = GarbageCollector()

# Force garbage collection
collected = gc_manager.collect()
print(f"Collected {collected} objects")

# Get memory summary
summary = gc_manager.get_memory_summary()
print(summary)

Memory Profiling

from glon import MemoryProfiler

# Create a profiler instance
profiler = MemoryProfiler()

# Take a memory snapshot
profiler.take_snapshot("before_operation")

# Your code here...
data = [list(range(1000)) for _ in range(100)]

# Take another snapshot
profiler.take_snapshot("after_operation")

# Compare snapshots
comparison = profiler.compare_snapshots(0, 1)
print(f"Memory change: {comparison['rss_diff']} bytes")

Memory Monitoring

from glon.utils import monitor_memory_usage

# Monitor memory for 60 seconds
samples = monitor_memory_usage(duration=60, interval=1.0)

for sample in samples:
    print(f"Memory: {sample['rss']} bytes, Objects: {sample['objects_count']}")

API Reference

GarbageCollector

Main class for garbage collection control and monitoring.

Methods

• enable() - Enable garbage collection
• disable() - Disable garbage collection
• collect(generation=2) - Force garbage collection
• get_stats() - Get garbage collection statistics
• get_memory_summary() - Get comprehensive memory summary

MemoryProfiler

Class for memory profiling and object tracking.

Methods

• take_snapshot(label="") - Take a memory snapshot
• track_object(obj, label="") - Track an object with weak reference
• compare_snapshots(index1, index2) - Compare two memory snapshots
• get_tracked_objects() - Get information about tracked objects

Utility Functions

• cleanup_temp_files(pattern="*") - Clean up temporary files
• monitor_memory_usage(duration=60, interval=1.0) - Monitor memory usage
• force_garbage_collection(verbose=False) - Force garbage collection on all generations
• find_object_cycles(obj, max_depth=10) - Find reference cycles
• analyze_memory_usage() - Comprehensive memory analysis

Requirements

• Python 3.8+
• psutil>=5.8.0

Development

Running Tests

pytest

Code Formatting

black glon/

Type Checking

mypy glon/

License

Apache License 2.0 - see LICENSE for details.

Contributing

Contributions are welcome! Please read the CONTRIBUTING.md file for details on our code of conduct and the process for submitting pull requests.

Changelog

0.1.0

• Initial release
• Basic garbage collection control
• Memory profiling capabilities
• Utility functions for memory management

License

Apache License 2.0 - see LICENSE for details.

Author

Created by Tom Sapletta - [e-mail]