77 lines
1.9 KiB
Python
77 lines
1.9 KiB
Python
#!/usr/bin/env python3
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"""
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性能分析配置示例
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展示如何在项目中配置和使用性能分析功能。
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"""
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# 配置性能分析的使用方式
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PERFORMANCE_CONFIG = {
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# 全局性能分析开关
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'enabled': True,
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# 详细性能分析开关（使用 pyinstrument）
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'detailed': False,
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# 内存分析开关
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'memory': False,
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# 性能监控阈值（秒）
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'threshold': 0.5,
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# 性能报告输出文件
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'output_file': 'performance_report.html',
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# 要监控的核心组件列表
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'monitored_components': [
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'core.ws.WS',
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'core.managers.plugin_manager',
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'core.managers.browser_manager',
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'core.utils.executor.CodeExecutor',
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'core.handlers.event_handler',
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]
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}
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def get_performance_config():
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"""
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获取性能分析配置
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Returns:
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dict: 性能分析配置
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"""
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import os
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import json
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# 从环境变量加载配置
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config = PERFORMANCE_CONFIG.copy()
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if os.environ.get('PERFORMANCE_PROFILE'):
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config['detailed'] = os.environ['PERFORMANCE_PROFILE'] == '1'
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if os.environ.get('PERFORMANCE_MEMORY'):
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config['memory'] = os.environ['PERFORMANCE_MEMORY'] == '1'
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if os.environ.get('PERFORMANCE_THRESHOLD'):
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try:
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config['threshold'] = float(os.environ['PERFORMANCE_THRESHOLD'])
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except ValueError:
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pass
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if os.environ.get('PERFORMANCE_OUTPUT'):
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config['output_file'] = os.environ['PERFORMANCE_OUTPUT']
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if os.environ.get('PERFORMANCE_STATS'):
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config['enabled'] = os.environ['PERFORMANCE_STATS'] == '1'
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return config
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if __name__ == "__main__":
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# 打印当前配置
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print("当前性能分析配置:")
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print("=" * 50)
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config = get_performance_config()
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for key, value in config.items():
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print(f"{key}: {value}")
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