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python-performance-profiler

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Python Performance Profiler

Python性能分析器

Purpose and Intent

用途与目标

Identify CPU and memory bottlenecks in Python code using cProfile or memory_profiler. Use to optimize mission-critical Python services.
使用cProfile或memory_profiler识别Python代码中的CPU和内存瓶颈，用于优化关键任务型Python服务。

When to Use

适用场景

  • Project Setup: When initializing a new Python project.
  • Continuous Integration: As part of automated build and test pipelines.
  • Legacy Refactoring: When updating older Python codebases to modern standards.
  • 项目初始化：在启动新Python项目时。
  • 持续集成：作为自动化构建和测试流水线的一部分。
  • 遗留代码重构：将旧版Python代码库升级到现代标准时。

When NOT to Use

不适用场景

  • Non-Python Projects: This tool is specialized for the Python ecosystem.
  • 非Python项目：本工具专为Python生态系统设计。

Error Conditions and Edge Cases

错误情况与边缘案例

  • Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
  • Incompatible Versions: If the project uses a Python version not supported by the tools.
  • 依赖缺失：如果项目没有requirements.txt或pyproject.toml文件。
  • 版本不兼容：如果项目使用的Python版本不受工具支持。

Security and Data-Handling Considerations

安全与数据处理注意事项

  • All analysis is performed locally.
  • No source code or credentials are ever transmitted externally.
  • 所有分析均在本地执行。
  • 源代码或凭据绝不会向外传输。