Lecture 21: Performance Optimization and Monitoring

Master Skill performance optimization and monitoring techniques to ensure efficient and stable Skill operation.

1. Performance Bottleneck Analysis

1.1 Common Performance Problems

Problem Type	Manifestation	Cause
Slow response	Long user wait time	Synchronous processing, large file operations
High memory	Memory usage continues to grow	Memory leak, large object caching
High CPU	Processing stuttering	Complex calculations, loop processing
Timeout	Request timeout failure	External API slow, large file processing

1.2 Performance Analysis Tools

import time
import functools
import tracemalloc
from typing import Callable

class PerformanceProfiler:
    """Performance profiler"""

    @staticmethod
    def timer(func: Callable) -> Callable:
        """Timer decorator"""
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            start = time.perf_counter()
            result = func(*args, **kwargs)
            elapsed = time.perf_counter() - start
            print(f"{func.__name__} elapsed time: {elapsed:.3f}s")
            return result
        return wrapper

    @staticmethod
    def memory_tracker(func: Callable) -> Callable:
        """Memory tracker decorator"""
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            tracemalloc.start()
            result = func(*args, **kwargs)
            current, peak = tracemalloc.get_traced_memory()
            tracemalloc.stop()
            print(f"{func.__name__} memory usage: {current/1024/1024:.2f}MB, peak: {peak/1024/1024:.2f}MB")
            return result
        return wrapper

2. Response Time Optimization

2.1 Asynchronous Processing

import asyncio
import aiohttp
from concurrent.futures import ThreadPoolExecutor

class AsyncSkillProcessor:
    """Async processor"""

    def __init__(self):
        self.executor = ThreadPoolExecutor(max_workers=10)

    async def process_async(self, tasks: list) -> list:
        """Async process multiple tasks"""
        loop = asyncio.get_event_loop()


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        # Convert sync tasks to async