[Perf]: Add comprehensive profiling analysis for plugin cache and trace processing #49
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This PR implements a comprehensive profiling system to analyze performance bottlenecks in plugin cache operations and trace processing, as requested in the issue.
Key Features
CacheSimProfiler Class
cProfile
with detailed timing analysistracemalloc
andpsutil
for peak memory usageProfile Results
The profiler generates detailed cProfile output showing exactly where bottlenecks occur:
This example shows
time.sleep
calls consuming 96% of execution time (0.273s out of 0.285s total).Performance Analysis
The system can identify significant performance differences between implementations:
Usage Examples
Quick Profiling
Detailed Analysis
Implementation Details
docs/profiling.md
Files Added
libcachesim/profiler.py
: Core profiling implementationexamples/profiling_analysis.py
: Standalone demonstration with mock cachesexamples/real_world_profiling.py
: Integration with actual libcachesim componentstests/test_profiler.py
: Basic functionality testsdocs/profiling.md
: Complete usage documentationThe profiler provides exactly the cProfile results requested in the issue, enabling developers to identify and optimize performance bottlenecks in plugin cache implementations and trace processing operations.
Fixes #48.
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