Math Log Parser

Parse log files and evaluate embedded mathematical expressions for performance analysis.

Use Case

Application logs often contain computed metrics inline:

[INFO] Request latency avg=(12+8+15+22+9)/5 = 13.2ms | p99=(45+52)/2=48.5ms
[INFO] Cache hit ratio = (1024 - 128)/1024 * 100 = 87.5%
[INFO] Queue depth = max(3, 7, 2) = 7

This tool extracts and evaluates these expressions to verify correctness.

Features

• Extract arithmetic expressions from log lines
• Safely evaluate mathematical expressions (no code execution)
• Compute aggregate statistics (mean, median, p95, p99)
• Generate summary dashboards from log files
• Support for custom formula evaluation

Usage

# Parse a log file and verify all expressions
python scripts/parse.py --log app.log --verify

# Generate statistics summary
python scripts/parse.py --log app.log --summary --output stats.json

# Extract and evaluate all expressions
python scripts/parse.py --log app.log --extract-expressions

Safety

Expression evaluation uses a restricted math parser that only allows:

• Basic arithmetic (+, -, *, /, %)
• Numeric literals
• Parentheses for grouping
• Built-in math functions: abs, min, max, round, sqrt, pow, log, log10, ceil, floor

No code execution, no variable binding, no attribute access.