📦 OpenClaw Performance — OpenClaw 性能

性能分析工具，分析代码执行、识别瓶颈、提供优化建议。

Version: 1.0 Features: 性能分析、瓶颈识别、优化建议、基准测试

Quick 开始

1. 分析 Python 代码

# 分析函数执行时间
python3 scripts/main.py profile --file src/main.py --function process_data
# 分析整个模块
python3 scripts/main.py profile --file src/main.py

2. 识别瓶颈

# 扫描代码中的性能问题
python3 scripts/main.py analyze --file src/main.py
# 分析目录
python3 scripts/main.py analyze --dir src/

3. 基准测试

# 运行基准测试
python3 scripts/main.py benchmark --file src/main.py --function heavy_computation

Commands

个人资料 输出

$ python3 scripts/main.py profile --file src/processor.py --function process_data
🔍 Performance Profile
======================
Function: process_data
File: src/processor.py:45
Calls: 100
Total time: 2.34s
Avg time: 23.4ms
Top hotspots:
  45% - database.query() (line 67)
  30% - json.dumps() (line 89)
  15% - data transformation (line 78)
  10% - other
Recommendations:
  ⚠️  Consider caching database results
  ⚠️  Use orjson instead of json for better performance

瓶颈分析

$ python3 scripts/main.py analyze --file src/api.py
🔍 Performance Analysis
=======================
File: src/api.py
Issues found: 3
🔴 High Impact:
  Line 34: Nested loop O(n²)
    for user in users:
      for order in orders:  # ← N+1 query pattern
  
  Suggestion: Use JOIN query instead
🟡 Medium Impact:
  Line 67: String concatenation in loop
    result += item  # ← Use list + join instead
🟢 Low Impact:
  Line 89: Unused import
    import heavy_module  # ← Remove if not used

基准测试

$ python3 scripts/main.py benchmark --file src/sort.py --function quicksort
⏱️  Benchmark Results
====================
Function: quicksort
Iterations: 1000
Time (ms):
  Mean:   12.34
  Median: 11.89
  Min:     8.45
  Max:    45.67
  P95:    18.90
  P99:    32.10
Memory (MB):
  Mean:   2.45
  Peak:   4.12
Comparison:
  vs bubble sort: 45x faster
  vs merge sort:  1.2x faster

检测的优化模式

代码层面

Python 特定

Configuration

.performance.json:

{
  "benchmark_iterations": 1000,
  "warmup_iterations": 10,
  "profile_lines": true,
  "check_patterns": [
    "n_plus_one",
    "string_concat_in_loop",
    "unused_imports"
  ]
}

CI/CD 集成

# .github/workflows/performance.yml
name: Performance Check
on: [pull_request]
jobs:
  perf:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      
      - name: Analyze Performance
        run: python3 skills/performance/scripts/main.py analyze --dir src/
      
      - name: Run Benchmarks
        run: python3 skills/performance/scripts/main.py benchmark --all

Files

skills/performance/
├── SKILL.md                    # 本文件
└── scripts/
    ├── main.py                 # ⭐ 统一入口
    ├── profiler.py             # 性能分析器
    └── analyzer.py             # 瓶颈分析器

Roadmap

• [x] Basic profiling
• [x] Bottleneck detection
• [x] Benchmark runner
• [ ] Memory profiling
• [ ] Flame 图形 generation