socratic-performance 0.1.2

Performance monitoring and caching utilities for AI systems

Socratic Performance

Performance monitoring and caching utilities for AI systems.

Features

• QueryProfiler: Database query profiling and performance monitoring
• TTLCache: Time-based function result caching decorator

Installation

pip install socratic-performance

Usage

Query Profiler

from socratic_performance import QueryProfiler

profiler = QueryProfiler()

@profiler.profile
def expensive_query():
    # Your database query here
    pass

expensive_query()
stats = profiler.get_stats()
print(stats)

TTL Cache

from socratic_performance import cached

@cached(ttl_minutes=5)
def compute_something(x):
    return x * x

result1 = compute_something(10)  # Computed
result2 = compute_something(10)  # Cached (5 min)

Documentation

• Performance Profiling Guide - Complete guide to performance profiling, query optimization, metrics collection, and bottleneck identification

License

MIT